Best of the week

More neural networks on Bothub

Claude Opus 4.8
Claude Opus 4.8
Anthropic's flagship model, optimized for complex development tasks and agent systems with improved honesty and more efficient tool use. Key innovations include dynamic workflows with hundreds of parallel subagents for codebases, computational effort control, and a fast mode with 2.5× speedup.
Nano Banana 2
Nano Banana 2
Google model for image generation and editing—a more affordable Pro alternative. Up to 4K, 5 characters and 14 objects preserved, crisp text in any language. 4× faster and cheaper than Pro.
Kling 3 Video
Kling 3 Video
Kuaishou flagship for videos up to 15 seconds with native sound and dialogue. Up to 4K, realistic physics, frame control, multi-shot with consistent characters and Director Mode.
GPT 5.5
GPT 5.5
OpenAI's base language model replacing GPT-5.4 as the default model for all ChatGPT users. Significantly improved factual accuracy, clearer and more concise responses, better image understanding and STEM problem solving. Supports personalization through chat history and files. Knowledge cutoff August 2025.
Flux 2 max
Flux 2 max
Black Forest Labs flagship model with 32B parameters. Photorealistic image generation up to 4 MP, improved typography and support for up to 10 references for consistent character and object editing. Precise color control via HEX codes, Grounding Search mode for visualizing current events and products, and best-in-line prompt adherence.
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview
Advanced multimodal model from Google with early access to the next generation. Natively works with text, images and audio — it «sees», «hears» and analyzes content. A universal tool for developers and business.
models-page.best-models.link

Available neural network models

Provider
All providers
Tariff
ELITE
Client type
Product
Currency
Provider mode
Model type
Context
Found: 355
glm-5.3

glm-5.3

New
-20%
Z.AI
Text
Context1 048 576
Max output131 072
Input (per 1M tokens)132 ₽
Output (per 1M tokens)414,86 ₽
claude-opus-5

claude-opus-5

New
-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)294,64 ₽
Output (per 1M tokens)1 473,21 ₽
gemini-3.6-flash

gemini-3.6-flash

New
-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)22,1 ₽
Output (per 1M tokens)110,49 ₽
Image prompt (1K)< 0.01 ₽
gemini-3.5-flash-lite

gemini-3.5-flash-lite

New
-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)8,84 ₽
Output (per 1M tokens)73,66 ₽
Image prompt (1K)< 0.01 ₽
gpt-5.6-sol

gpt-5.6-sol

New
-80%
ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)235,71 ₽
gpt-5.6-terra

gpt-5.6-terra

New
-80%
ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)282,86 ₽
gpt-5.6-luna

gpt-5.6-luna

New
-80%
ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)4,71 ₽
Output (per 1M tokens)28,29 ₽
grok-4.5

grok-4.5

New
-75%
Grok
Text
Context500 000
Max output450 000
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)176,79 ₽
claude-sonnet-5

claude-sonnet-5

-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)117,86 ₽
Output (per 1M tokens)589,29 ₽
glm-5.2

glm-5.2

-20%
Z.AI
Text
Context1 048 576
Max output262 144
Input (per 1M tokens)112,2 ₽
Output (per 1M tokens)352,63 ₽
claude-fable-5

claude-fable-5

-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)589,29 ₽
Output (per 1M tokens)2 946,43 ₽
claude-opus-4.8

claude-opus-4.8

-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)294,64 ₽
Output (per 1M tokens)1 473,21 ₽
gemini-3.5-flash

gemini-3.5-flash

-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)44,2 ₽
Output (per 1M tokens)265,18 ₽
Image prompt (1K)< 0.01 ₽
gemini-3.1-flash-lite

gemini-3.1-flash-lite

-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)7,37 ₽
Output (per 1M tokens)44,2 ₽
Image prompt (1K)< 0.01 ₽
grok-4.3

grok-4.3

-75%
Grok
Text
Context1 000 000
Max output900 000
Input (per 1M tokens)36,83 ₽
Output (per 1M tokens)73,66 ₽
gpt-5.5

gpt-5.5

-80%
ChatGPT
Text
Context1 050 000
Max output4 096
Input (per 1M tokens)117,86 ₽
Output (per 1M tokens)707,14 ₽
Image prompt (1K)0,03 ₽
claude-opus-4.7

claude-opus-4.7

-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)294,64 ₽
Output (per 1M tokens)1 473,21 ₽
glm-5.1

glm-5.1

-20%
Z.AI
Text
Context202 752
Max output182 476
Input (per 1M tokens)118,8 ₽
Output (per 1M tokens)373,37 ₽
gpt-5.4

gpt-5.4

-80%
ChatGPT
Text
Context1 050 000
Max output4 096
Input (per 1M tokens)31,43 ₽
Output (per 1M tokens)31,43 ₽
Image prompt (1K)0,03 ₽
gemini-3.1-pro-preview

gemini-3.1-pro-preview

-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)353,57 ₽
Image prompt (1K)< 0.01 ₽
claude-sonnet-4.6

claude-sonnet-4.6

-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)176,79 ₽
Output (per 1M tokens)883,93 ₽
claude-opus-4.6

claude-opus-4.6

-50%
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)294,64 ₽
Output (per 1M tokens)1 473,21 ₽

EmbeddingsGigaR

-100%
Other
Embeddings
Context4 096
Max output4 096
Input (per 1M tokens)157,14 ₽

GigaEmbeddings-3B-2025-09

-100%
Other
Embeddings
Context512
Max output512
Input (per 1M tokens)157,14 ₽
gemini-3-flash-preview

gemini-3-flash-preview

-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)14,73 ₽
Output (per 1M tokens)88,39 ₽
Image prompt (1K)< 0.01 ₽
claude-haiku-4.5

claude-haiku-4.5

-50%
Claude
Text
Context200 000
Max output64 000
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)294,64 ₽
gemini-2.5-flash-lite

gemini-2.5-flash-lite

-75%
Gemini
Text
Context1 048 576
Max output65 535
Input (per 1M tokens)2,95 ₽
Output (per 1M tokens)11,79 ₽
Image prompt (1K)< 0.01 ₽
gemini-2.5-pro

gemini-2.5-pro

-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)36,83 ₽
Output (per 1M tokens)294,64 ₽
Image prompt (1K)< 0.01 ₽
gemini-2.5-flash

gemini-2.5-flash

-75%
Gemini
Text
Context1 048 576
Max output65 535
Input (per 1M tokens)8,84 ₽
Output (per 1M tokens)73,66 ₽
Image prompt (1K)< 0.01 ₽
gemini-2.5-pro-preview

gemini-2.5-pro-preview

-75%
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)36,83 ₽
Output (per 1M tokens)294,64 ₽
Image prompt (1K)< 0.01 ₽

ox-alpha

New
Other
Text
Context1 048 576
Max output131 072
qwen3.8-27b

qwen3.8-27b

New
Qwen
Text
Context262 144
Max output131 072
Input (per 1M tokens)50,09 ₽
Output (per 1M tokens)300,54 ₽
gemini-3.7-flash

gemini-3.7-flash

New
Gemini
Text
Context1 048 576
Max output65 536
Input (per 1M tokens)44,2 ₽
Output (per 1M tokens)220,98 ₽
Image prompt (1K)< 0.01 ₽
deepseek-v4-pro-0813

deepseek-v4-pro-0813

New
Deepseek
Text
Context1 048 576
Max output943 717
Input (per 1M tokens)132,24 ₽
Output (per 1M tokens)396,71 ₽
qwen3.8-2.4t-a95b

qwen3.8-2.4t-a95b

New
Qwen
Text
Context1 000 000
Max output131 072
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)707,14 ₽
grok-4.6

grok-4.6

New
Grok
Text
Context500 000
Max output450 000
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)707,14 ₽

nemotron-3.5-lightning

New
NVIDIA
Text
Context262 144
Max output131 072
Input (per 1M tokens)9,43 ₽
Output (per 1M tokens)23,57 ₽

nemotron-3.5-lightning:free

New
NVIDIA
Text
Context1 000 000
Max output65 536

sakana-namazu

New
Sakana
Text
Context262 144
Max output65 536
Input (per 1M tokens)111,96 ₽
Output (per 1M tokens)471,43 ₽

solar-pro4

New
Upstage
Text
Context524 288
Max output131 072
Input (per 1M tokens)3,54 ₽
Output (per 1M tokens)14,14 ₽

muse-glimmer-30b

New
Meta
Text
Context131 072
Max output117 964
Input (per 1M tokens)41,25 ₽
Output (per 1M tokens)176,79 ₽

muse-spark-1.2

New
Meta
Text
Context1 048 576
Max output943 718
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)500,89 ₽
qwen3.8-max

qwen3.8-max

New
Qwen
Text
Context1 000 000
Max output131 072
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)707,14 ₽
qwen3.7-flash

qwen3.7-flash

New
Qwen
Text
Context1 000 000
Max output65 536
Input (per 1M tokens)3,54 ₽
Output (per 1M tokens)15,32 ₽
deepseek-v4-flash-0731

deepseek-v4-flash-0731

New
Deepseek
Text
Context1 048 576
Max output943 718
Input (per 1M tokens)7,07 ₽
Output (per 1M tokens)14,14 ₽
gen4-image-turbo

gen4-image-turbo

New
Runway
Images
Context4 095
Max output4 096
Per image1,89 ₽
gen-4.5

gen-4.5

New
Runway
Video
Context4 095
Max output4 096
Per second14,14 ₽
gen4-image

gen4-image

New
Runway
Images
Context4 095
Max output4 096
Per image7,54 ₽
claude-opus-5-fast

claude-opus-5-fast

New
Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)1 178,57 ₽
Output (per 1M tokens)5 892,86 ₽

ling-3.0-flash

New
Other
Text
Context262 144
Max output32 768
Input (per 1M tokens)2,48 ₽
Output (per 1M tokens)7,42 ₽

laguna-s-2.1

New
Poolside
Text
Context1 048 576
Max output131 072
Input (per 1M tokens)10,61 ₽
Output (per 1M tokens)21,21 ₽
kling-v3.0-std

kling-v3.0-std

New
Kwaivgi
Video
Context4 095
Max output4 096
Per second14,85 ₽
kling-v3.0-pro

kling-v3.0-pro

New
Kwaivgi
Video
Context4 095
Max output4 096
Per second19,8 ₽
kling-video-o1

kling-video-o1

New
Kwaivgi
Video
Context4 095
Max output4 096
Per second13,2 ₽

longcat-2.0

New
Other
Text
Context1 048 756
Max output262 144
Input (per 1M tokens)35,36 ₽
Output (per 1M tokens)141,43 ₽
grok-imagine-video-1.5

grok-imagine-video-1.5

New
Grok
Video
Context4 095
Max output4 096
Per second9,43 ₽

inkling

New
Thinking Machines
Text
Context1 048 576
Max output262 144
Input (per 1M tokens)111,96 ₽
Output (per 1M tokens)477,32 ₽

muse-spark-1.1

New
Meta
Text
Context1 048 576
Max output943 718
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)500,89 ₽
kimi-k3

kimi-k3

New
Moonshot AI
Text
Context1 048 576
Max output943 718
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)1 767,86 ₽

kat-coder-pro-v2.5

New
Kwaipilot
Text
Context256 000
Max output80 000
Input (per 1M tokens)87,21 ₽
Output (per 1M tokens)348,86 ₽
gpt-5.6-sol-pro

gpt-5.6-sol-pro

New
ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)1 178,57 ₽
gpt-5.6-luna-pro

gpt-5.6-luna-pro

New
ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)23,57 ₽
Output (per 1M tokens)141,43 ₽
gpt-5.6-terra-pro

gpt-5.6-terra-pro

New
ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)1 414,29 ₽
grok-imagine-video

grok-imagine-video

New
Grok
Video
Context4 095
Max output4 096
Per second5,89 ₽

aion-3.0

New
AionLabs
Text
Context131 072
Max output32 768
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)707,14 ₽

aion-3.0-mini

New
AionLabs
Text
Context131 072
Max output32 768
Input (per 1M tokens)82,5 ₽
Output (per 1M tokens)165 ₽
wan-2.7

wan-2.7

New
Tongyi
Video
Context4 095
Max output4 096
Per second17,68 ₽
wan-2.6

wan-2.6

New
Tongyi
Video
Context4 095
Max output4 096
Per second4,71 ₽
happyhorse-1.1

happyhorse-1.1

New
Tongyi
Video
Context4 095
Max output4 096
Per second11,64 ₽
seedance-2.0

seedance-2.0

New
Bytedance
VideoText
Context4 095
Max output4 096
Per second14,14 ₽
hailuo-2.3

hailuo-2.3

New
Minimax
Video
Context4 095
Max output4 096
Per second9,63 ₽

nex-n2-mini

New
Nex AGI
Text
Context262 144
Max output235 929
Input (per 1M tokens)2,95 ₽
Output (per 1M tokens)11,79 ₽

hy3

New
Tencent
Text
Context262 144
Max output128 000
Input (per 1M tokens)15,56 ₽
Output (per 1M tokens)62,23 ₽

laguna-xs-2.1:free

New
Poolside
Text
Context262 144
Max output32 768

laguna-xs-2.1

New
Poolside
Text
Context262 144
Max output32 768
Input (per 1M tokens)7,07 ₽
Output (per 1M tokens)14,14 ₽
nano-banana-2-lite

Nano Banana — 2 Lite

Gemini-image
Images
Context65 536
Max output32 000
Per generation4,56 ₽
gpt-image-2

gpt-image-2

GPT Image
Images
Context400 000
Max output4 096
Per generation1,92 ₽

fugu-ultra

Sakana
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)589,29 ₽
Output (per 1M tokens)3 535,71 ₽

nex-n2-pro

Nex AGI
Text
Context262 144
Max output235 929
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)117,86 ₽
kimi-k2.7-code

kimi-k2.7-code

Moonshot AI
Text
Context262 144
Max output235 929
Input (per 1M tokens)78,96 ₽
Output (per 1M tokens)400,71 ₽

nemotron-3-ultra-550b-a55b

NVIDIA
Text
Context1 000 000
Max output461 059
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)424,29 ₽

nemotron-3.5-content-safety:free

NVIDIA
Text
Context128 000
Max output8 192

nemotron-3-ultra-550b-a55b:free

NVIDIA
Text
Context1 000 000
Max output65 536
qwen3.7-plus

qwen3.7-plus

Qwen
Text
Context1 000 000
Max output131 072
Input (per 1M tokens)37,71 ₽
Output (per 1M tokens)150,86 ₽
minimax-m3

minimax-m3

Minimax
Text
Context1 048 576
Max output512 000
Input (per 1M tokens)35,36 ₽
Output (per 1M tokens)141,43 ₽

step-3.7-flash

StepFun
Text
Context256 000
Max output230 400
Input (per 1M tokens)23,57 ₽
Output (per 1M tokens)135,54 ₽
claude-opus-4.8-fast

claude-opus-4.8-fast

Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)1 178,57 ₽
Output (per 1M tokens)5 892,86 ₽
nano-banana-pro

Nano Banana — Pro

Gemini-image
Images
Context65 536
Max output32 000
Per generation17,6 ₽
nano-banana-2

Nano Banana — 2

Gemini-image
Images
Context65 536
Max output32 000
Per generation10,56 ₽
grok-imagine-image-quality

grok-imagine-image-quality

Grok
Images
Context65 536
Max output58 982
Per image5,89 ₽
seedream-4.5

seedream-4.5

Bytedance
TextImages
Context4 096
Max output3 686
Per image4,71 ₽
qwen3.7-max

qwen3.7-max

Qwen
Text
Context1 000 000
Max output131 072
Input (per 1M tokens)173,84 ₽
Output (per 1M tokens)521,52 ₽
Eleven Multilingual v2

Eleven Multilingual v2

Eleven Labs voice clone
Context10 000
Max output10 000
Input (per 1M tokens)15,71 ₽
Eleven Flash v2.5

Eleven Flash v2.5

Eleven Labs voice clone
Context40 000
Max output40 000
Input (per 1M tokens)7,86 ₽
Eleven Flash v2

Eleven Flash v2

Eleven Labs voice clone
Context30 000
Max output30 000
Input (per 1M tokens)7,86 ₽
Eleven Turbo v2.5

Eleven Turbo v2.5

Eleven Labs voice clone
Context40 000
Max output40 000
Input (per 1M tokens)7,86 ₽
Eleven Turbo v2

Eleven Turbo v2

Eleven Labs voice clone
Context30 000
Max output30 000
Input (per 1M tokens)7,86 ₽
Eleven v3

Eleven v3

Eleven Labs voice clone
Context5 000
Max output5 000
Input (per 1M tokens)15,71 ₽
veo-3.1-lite

veo-3.1-lite

Veo
Video
Context65 536
Max output32 000
Per second8,84 ₽
eleven-v3

eleven-v3

Eleven Labs
Audio
Context5 000
Max output5 000
Per 1K characters0,02 ₽
eleven-multilingual-v2

eleven-multilingual-v2

Eleven Labs
Audio
Context10 000
Max output10 000
Per 1K characters0,02 ₽
eleven-flash-v2.5

eleven-flash-v2.5

Eleven Labs
Audio
Context40 000
Max output40 000
Per 1K characters< 0.01 ₽
eleven-turbo-v2

eleven-turbo-v2

Eleven Labs
Audio
Context30 000
Max output30 000
Per 1K characters< 0.01 ₽
eleven-flash-v2

eleven-flash-v2

Eleven Labs
Audio
Context30 000
Max output30 000
Per 1K characters< 0.01 ₽
eleven-turbo-v2.5

eleven-turbo-v2.5

Eleven Labs
Audio
Context40 000
Max output40 000
Per 1K characters< 0.01 ₽
claude-opus-4.7-fast

claude-opus-4.7-fast

Claude
Text
Context1 000 000
Max output128 000
Input (per 1M tokens)3 535,71 ₽
Output (per 1M tokens)17 678,57 ₽

hy3-preview

Tencent
Text
Context262 144
Max output235 929
Input (per 1M tokens)21,21 ₽
Output (per 1M tokens)70,71 ₽
mistral-medium-3-5

mistral-medium-3-5

Mistral
Text
Context262 144
Max output209 715
Input (per 1M tokens)176,79 ₽
Output (per 1M tokens)883,93 ₽

nemotron-3-nano-omni-30b-a3b-reasoning:free

NVIDIA
Text
Context256 000
Max output65 536
qwen3.6-35b-a3b

qwen3.6-35b-a3b

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)16,5 ₽
Output (per 1M tokens)117,86 ₽
gpt-5.5-pro

gpt-5.5-pro

ChatGPT
Text
Context1 050 000
Max output128 000
Input (per 1M tokens)3 535,71 ₽
Output (per 1M tokens)21 214,29 ₽
deepseek-v4-pro

deepseek-v4-pro

Deepseek
Text
Context1 048 576
Max output384 000
Input (per 1M tokens)102,54 ₽
Output (per 1M tokens)205,07 ₽
deepseek-v4-flash

deepseek-v4-flash

Deepseek
Text
Context1 048 576
Max output384 000
Input (per 1M tokens)9,55 ₽
Output (per 1M tokens)19,11 ₽

mimo-v2.5-pro

Xiaomi
Text
Context1 048 576
Max output131 072
Input (per 1M tokens)51,27 ₽
Output (per 1M tokens)102,54 ₽

mimo-v2.5

Xiaomi
Text
Context1 048 576
Max output131 072
Input (per 1M tokens)16,5 ₽
Output (per 1M tokens)33 ₽
kimi-k2.6

kimi-k2.6

Moonshot AI
Text
Context262 144
Max output235 929
Input (per 1M tokens)111,96 ₽
Output (per 1M tokens)471,43 ₽
qwen3.6-plus

qwen3.6-plus

Qwen
Text
Context1 000 000
Max output65 536
Input (per 1M tokens)38,3 ₽
Output (per 1M tokens)229,82 ₽
gemma-4-31b-it:free

gemma-4-31b-it:free

Gemini
Text
Context262 144
Max output32 768
gemma-4-31b-it

gemma-4-31b-it

Gemini
Text
Context65 536
Max output16 384
Input (per 1M tokens)10,61 ₽
Output (per 1M tokens)40,07 ₽
gemma-4-26b-a4b-it

gemma-4-26b-a4b-it

Gemini
Text
Context65 536
Max output16 384
Input (per 1M tokens)8,25 ₽
Output (per 1M tokens)40,07 ₽
glm-5v-turbo

glm-5v-turbo

Z.AI
Text
Context202 752
Max output131 072
Input (per 1M tokens)141,43 ₽
Output (per 1M tokens)471,43 ₽
grok-4.20

grok-4.20

Grok
Text
Context2 000 000
Max output1 800 000
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)294,64 ₽
grok-4.20-multi-agent

grok-4.20-multi-agent

Grok
Text
Context2 000 000
Max output1 800 000
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)294,64 ₽

kat-coder-pro-v2

Kwaipilot
Text
Context256 000
Max output80 000
Input (per 1M tokens)35,36 ₽
Output (per 1M tokens)141,43 ₽
minimax-m2.7

minimax-m2.7

Minimax
Text
Context204 800
Max output131 072
Input (per 1M tokens)35,36 ₽
Output (per 1M tokens)141,43 ₽
gpt-5.4-mini

gpt-5.4-mini

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
gpt-5.4-nano

gpt-5.4-nano

ChatGPT
Text
Context400 000
Max output128 000
Input (per 1M tokens)23,57 ₽
Output (per 1M tokens)147,32 ₽
mistral-small-2603

mistral-small-2603

Mistral
Text
Context262 144
Max output209 715
Input (per 1M tokens)17,68 ₽
Output (per 1M tokens)70,71 ₽
glm-5-turbo

glm-5-turbo

Z.AI
Text
Context202 752
Max output131 072
Input (per 1M tokens)141,43 ₽
Output (per 1M tokens)471,43 ₽

nemotron-3-super-120b-a12b:free

NVIDIA
Text
Context1 000 000
Max output235 929
qwen3.5-9b

qwen3.5-9b

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)11,79 ₽
Output (per 1M tokens)17,68 ₽
ltx-2.3-pro

ltx-2.3-pro

Lightricks
Video
Context4 095
Max output4 096
Per second14,14 ₽
gpt-5.4-pro

gpt-5.4-pro

ChatGPT
Text
Context1 050 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
ltx-2.3-fast

ltx-2.3-fast

Lightricks
Video
Context4 095
Max output4 096
Per second10,61 ₽
kling-v3-motion-control

kling-v3-motion-control

Kwaivgi
Video
Context4 095
Max output4 096
Per second12,38 ₽
qwen-image-2-pro

qwen-image-2-pro

Qwen image
Images
Context4 095
Max output4 096
Per image13,26 ₽
qwen-image-2

qwen-image-2

Qwen image
Images
Context4 095
Max output4 096
Per image6,19 ₽
gpt-5.3-chat

gpt-5.3-chat

ChatGPT
Text
Context128 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
gemini-3.1-flash-lite-preview

gemini-3.1-flash-lite-preview

Gemini
TextAudio
Context1 048 576
Max output65 536
Audio< 0.01 ₽
Output (per 1M tokens)176,79 ₽
Image prompt (1K)< 0.01 ₽

solar-pro-3

Upstage
Text
Context128 000
Max output117 964
Input (per 1M tokens)17,68 ₽
Output (per 1M tokens)70,71 ₽
nano-banana-2-preview

Nano Banana — 2

Gemini-image
Images
Context65 536
Max output32 000
Per generation10,56 ₽
qwen3.5-122b-a10b

qwen3.5-122b-a10b

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)30,64 ₽
Output (per 1M tokens)245,14 ₽
qwen3.5-flash-02-23

qwen3.5-flash-02-23

Qwen
Text
Context1 000 000
Max output65 536
Input (per 1M tokens)7,66 ₽
Output (per 1M tokens)30,64 ₽
qwen3.5-27b

qwen3.5-27b

Qwen
Text
Context262 144
Max output65 536
Input (per 1M tokens)22,98 ₽
Output (per 1M tokens)183,86 ₽
qwen3.5-35b-a3b

qwen3.5-35b-a3b

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)147,32 ₽
voicekit-stt

voicekit-stt

Транскрибация
Audio
Context4 095
Max output4 096
Audio1,3 ₽
gpt-5.3-codex

gpt-5.3-codex

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)206,25 ₽
Output (per 1M tokens)1 650 ₽
Image prompt (1K)0,16 ₽

aion-2.0

AionLabs
Text
Context131 072
Max output32 768
Input (per 1M tokens)94,29 ₽
Output (per 1M tokens)188,57 ₽
kling-v3-video

kling-v3-video

Kwaivgi
Video
Context4 095
Max output4 096
Per second29,7 ₽
kling-v3-omni-video

kling-v3-omni-video

Kwaivgi
Video
Context4 095
Max output4 096
Per second29,7 ₽
qwen3.5-397b-a17b

qwen3.5-397b-a17b

Qwen
Text
Context256 000
Max output65 536
Input (per 1M tokens)45,96 ₽
Output (per 1M tokens)275,79 ₽
minimax-m2.5

minimax-m2.5

Minimax
Text
Context204 800
Max output128 000
Input (per 1M tokens)31,82 ₽
Output (per 1M tokens)127,29 ₽
glm-5

glm-5

Z.AI
Text
Context204 800
Max output128 000
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)226,29 ₽

step-3.5-flash

StepFun
Text
Context256 000
Max output65 536
Input (per 1M tokens)11,79 ₽
Output (per 1M tokens)35,36 ₽
qwen3-max-thinking

qwen3-max-thinking

Qwen
Text
Context262 144
Max output65 536
Input (per 1M tokens)91,93 ₽
Output (per 1M tokens)459,64 ₽
gpt-image-1.5

gpt-image-1.5

GPT Image
Images
Context4 095
Max output4 096
Per generation1,03 ₽
qwen3-coder-next

qwen3-coder-next

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)14,14 ₽
Output (per 1M tokens)94,29 ₽
audio-to-video

audio-to-video

Lightricks
Video
Context4 095
Max output4 096
Per second17,68 ₽
kimi-k2.5

kimi-k2.5

Moonshot AI
Text
Context262 144
Max output235 929
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)353,57 ₽
flux-2-klein-9b

flux-2-klein-9b

Flux
Images
Context4 095
Max output4 096
Per image15,71 ₽
GigaChat-preview

GigaChat-preview

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-Pro

GigaChat-Pro

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-Pro-preview

GigaChat-Pro-preview

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-Max-preview

GigaChat-Max-preview

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-Plus

GigaChat-Plus

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-Max

GigaChat-Max

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
gigachat-2-max

gigachat-2-max

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-2

GigaChat-2

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat-2-Pro

GigaChat-2-Pro

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
GigaChat

GigaChat

GigaChat
Text
Context128 000
Max output128 000
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽
glm-4.7-flash

glm-4.7-flash

Z.AI
Text
Context200 000
Max output16 384
Input (per 1M tokens)7,07 ₽
Output (per 1M tokens)47,14 ₽
flux-2-klein-4b

flux-2-klein-4b

Flux
Images
Context4 095
Max output4 096
gpt-5.2-codex

gpt-5.2-codex

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
Qwen3 235B

Qwen3 235B

Qwen
Text
Context262 144
Max output262 144
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)1 386,79 ₽
Image prompt (1K)0,16 ₽
Gemini 2.5 Flash Native Audio Preview 12-2025

Gemini 2.5 Flash Native Audio Preview 12-2025

Gemini
TextAudio
Context200 000
Max output32 000
Per 1K characters0,04 ₽
Output (per 1M tokens)294,64 ₽
Image prompt (1K)0,15 ₽
Gemini 2.5 Flash Native Audio Preview 09-2025

Gemini 2.5 Flash Native Audio Preview 09-2025

Gemini
TextAudio
Context200 000
Max output32 000
Per 1K characters0,04 ₽
Output (per 1M tokens)294,64 ₽
Image prompt (1K)0,15 ₽
ltx-2-distilled

ltx-2-distilled

Lightricks
Video
Context4 095
Max output4 096
Per second3,54 ₽
kling-v2.6

kling-v2.6

Kwaivgi
Video
Context4 095
Max output4 096
Per second12,38 ₽
qwen-image-2512

qwen-image-2512

Qwen image
Images
Context4 095
Max output4 096
Per image3,54 ₽
glm-4.7

glm-4.7

Z.AI
Text
Context200 000
Max output131 072
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)206,25 ₽
kling-v2.6-motion-control

kling-v2.6-motion-control

Kwaivgi
Video
Context4 095
Max output4 096
Per second12,38 ₽
qwen-image-edit-2511

qwen-image-edit-2511

Qwen image
Images
Context4 095
Max output4 096
Per image5,3 ₽
flux-2-max

flux-2-max

Flux
Images
Context4 095
Max output4 096
gpt-5.2

gpt-5.2

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)206,25 ₽
Output (per 1M tokens)1 650 ₽
Image prompt (1K)0,16 ₽
gpt-5.2-pro

gpt-5.2-pro

ChatGPT
Text
Context400 000
Max output128 000
Input (per 1M tokens)2 475 ₽
Output (per 1M tokens)19 800 ₽
gpt-5.2-chat

gpt-5.2-chat

ChatGPT
Text
Context128 000
Max output32 000
Input (per 1M tokens)206,25 ₽
Output (per 1M tokens)1 650 ₽
Image prompt (1K)0,16 ₽
glm-4.6v

glm-4.6v

Z.AI
Text
Context131 072
Max output32 768
Input (per 1M tokens)35,36 ₽
Output (per 1M tokens)106,07 ₽
gpt-5.1-codex-max

gpt-5.1-codex-max

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
codestral-embed-2505

codestral-embed-2505

Embeddings
Embeddings
Context8 192
Max output2 703
Input (per 1M tokens)17,68 ₽
mistral-embed-2312

mistral-embed-2312

Embeddings
Embeddings
Context8 192
Max output2 703
Input (per 1M tokens)11,79 ₽
gemini-embedding-001

gemini-embedding-001

Embeddings
Embeddings
Context20 000
Max output6 600
Input (per 1M tokens)17,68 ₽

qwen3-embedding-4b

Embeddings
Embeddings
Context32 768
Max output10 813
Input (per 1M tokens)2,36 ₽

qwen3-embedding-8b

Embeddings
Embeddings
Context32 000
Max output32 000
Input (per 1M tokens)1,18 ₽

Alice AI LLM

Other
Text
Context32 768
Max output131 072
Input (per 1M tokens)1 386,79 ₽
Output (per 1M tokens)5 547,14 ₽
Image prompt (1K)0,16 ₽

bge-m3

Embeddings
Embeddings
Context8 192
Max output8 194
Input (per 1M tokens)1,18 ₽

all-mpnet-base-v2

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

multi-qa-mpnet-base-dot-v1

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

all-minilm-l6-v2

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

all-minilm-l12-v2

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

e5-base-v2

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

e5-large-v2

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)1,18 ₽

multilingual-e5-large

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)1,18 ₽

paraphrase-minilm-l6-v2

Sentence Transformers
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

gte-base

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)0,59 ₽

gte-large

Embeddings
Embeddings
Context512
Max output168
Input (per 1M tokens)1,18 ₽
mistral-large-2512

mistral-large-2512

Mistral
Text
Context262 144
Max output209 715
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)176,79 ₽
deepseek-v3.2

deepseek-v3.2

Deepseek
Text
Context131 072
Max output147 456
Input (per 1M tokens)30,64 ₽
Output (per 1M tokens)44,79 ₽
flux-2-flex

flux-2-flex

Flux
Images
Context4 095
Max output4 096
Per image15,71 ₽
claude-opus-4.5

claude-opus-4.5

Claude
Text
Context200 000
Max output64 000
Input (per 1M tokens)589,29 ₽
Output (per 1M tokens)2 946,43 ₽
flux-2-dev

flux-2-dev

Flux
Images
Context4 095
Max output4 096
ltx-2-retake

ltx-2-retake

Lightricks
Video
Context4 095
Max output4 096
Per second17,68 ₽
qwen3-reranker-8b

qwen3-reranker-8b

Qwen
Context4 095
Max output4 096
nano-banana-pro-preview

Nano Banana — Pro

Gemini-image
Images
Context65 536
Max output32 000
Per generation17,6 ₽
gpt-image-1-mini

gpt-image-1-mini

GPT Image
Images
Context4 095
Max output4 096
Per generation0,26 ₽
flux-2-pro

flux-2-pro

Flux
Images
Context4 095
Max output4 096
gpt-5.1

gpt-5.1

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)0,16 ₽
gpt-5.1-chat

gpt-5.1-chat

ChatGPT
Text
Context128 000
Max output4 096
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)0,16 ₽
gpt-5.1-codex-mini

gpt-5.1-codex-mini

ChatGPT
Text
Context400 000
Max output128 000
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)235,71 ₽
qwen-image-edit-plus-lora

qwen-image-edit-plus-lora

Qwen image
Images
Context4 095
Max output4 096
Per image5,3 ₽
kimi-k2-thinking

kimi-k2-thinking

Moonshot AI
Text
Context262 144
Max output100 352
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)294,64 ₽
sonar-pro-search

sonar-pro-search

Perplexity
Text
Context200 000
Max output8 000
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)1 767,86 ₽
ltx-2-pro

ltx-2-pro

Lightricks
Video
Context4 095
Max output4 096
Per second10,61 ₽
ltx-2-fast

ltx-2-fast

Lightricks
Video
Context4 095
Max output4 096
Per second7,07 ₽
veo-3.1-fast

veo-3.1-fast

Veo
Video
Context4 095
Max output32 000
Per second26,52 ₽
veo-3.1

veo-3.1

Veo
Video
Context4 095
Max output32 000
Per second70,71 ₽
sora-2

sora-2

Sora
Video
Context4 095
Max output4 096
Per second17,68 ₽
sora-2-pro

sora-2-pro

Sora
Video
Context4 095
Max output4 096
Per second53,04 ₽
nano-banana

Nano Banana

Gemini-image
Images
Context32 768
Max output32 000
Per generation4,56 ₽
gpt-5-pro

gpt-5-pro

ChatGPT
Text
Context400 000
Max output128 000
Input (per 1M tokens)1 767,86 ₽
Output (per 1M tokens)14 142,86 ₽
glm-4.6

glm-4.6

Z.AI
Text
Context200 000
Max output131 072
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)235,71 ₽
claude-sonnet-4.5

claude-sonnet-4.5

Claude
Text
Context200 000
Max output64 000
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)1 767,86 ₽
deepseek-v3.2-exp

deepseek-v3.2-exp

Deepseek
Text
Context131 072
Max output65 536
Input (per 1M tokens)31,82 ₽
Output (per 1M tokens)48,32 ₽
gemini-2.5-flash-lite-preview-09-2025

gemini-2.5-flash-lite-preview-09-2025

Gemini
Text
Context1 048 576
Max output32 000
Input (per 1M tokens)11,79 ₽
Output (per 1M tokens)47,14 ₽
Image prompt (1K)< 0.01 ₽
kling-v2.5-turbo-pro

kling-v2.5-turbo-pro

Kwaivgi
Video
Context4 095
Max output4 096
Per second12,38 ₽
qwen3-vl-235b-a22b-instruct

qwen3-vl-235b-a22b-instruct

Qwen
Text
Context131 072
Max output32 768
Input (per 1M tokens)24,75 ₽
Output (per 1M tokens)223,93 ₽
qwen3-vl-235b-a22b-thinking

qwen3-vl-235b-a22b-thinking

Qwen
Text
Context131 072
Max output32 768
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)471,43 ₽
gpt-5-codex

gpt-5-codex

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)0,16 ₽
qwen-image-edit-plus

qwen-image-edit-plus

Qwen image
Images
Context4 095
Max output4 096
Per image5,3 ₽
qwen3-coder-plus

qwen3-coder-plus

Qwen
Text
Context128 000
Max output65 536
Input (per 1M tokens)76,61 ₽
Output (per 1M tokens)383,04 ₽
qwen3-coder-flash

qwen3-coder-flash

Qwen
Text
Context128 000
Max output65 536
Input (per 1M tokens)22,98 ₽
Output (per 1M tokens)114,91 ₽
yandexgpt-pro-5.1

yandexgpt-pro-5.1

YandexGPT
Text
Context32 000
Max output32 768
Input (per 1M tokens)1 109,43 ₽
Output (per 1M tokens)1 109,43 ₽
Image prompt (1K)0,16 ₽
YandexGPT Lite

YandexGPT Lite

YandexGPT
Text
Context32 000
Max output32 768
Input (per 1M tokens)278,14 ₽
Output (per 1M tokens)278,14 ₽
Image prompt (1K)0,16 ₽
yandexgpt-pro

yandexgpt-pro

YandexGPT
Text
Context32 000
Max output32 768
Input (per 1M tokens)1 664,14 ₽
Output (per 1M tokens)1 664,14 ₽
Image prompt (1K)0,16 ₽
qwen3-next-80b-a3b-instruct

qwen3-next-80b-a3b-instruct

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)11,79 ₽
Output (per 1M tokens)129,64 ₽
kimi-k2-0905

kimi-k2-0905

Moonshot AI
Text
Context262 144
Max output100 352
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)294,64 ₽
qwen3-coder-30b-a3b-instruct

qwen3-coder-30b-a3b-instruct

Qwen
Text
Context262 144
Max output235 929
Input (per 1M tokens)8,25 ₽
Output (per 1M tokens)33 ₽
deepseek-chat-v3.1

deepseek-chat-v3.1

Deepseek
Text
Context131 072
Max output144 900
Input (per 1M tokens)64,82 ₽
Output (per 1M tokens)194,46 ₽
qwen-image-edit

qwen-image-edit

Qwen image
Images
Context4 095
Max output4 096
Per image5,3 ₽

ernie-4.5-vl-424b-a47b

Other
Text
Context123 000
Max output16 000
Input (per 1M tokens)49,5 ₽
Output (per 1M tokens)147,32 ₽
mistral-medium-3.1

mistral-medium-3.1

Mistral
Text
Context131 072
Max output104 857
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)235,71 ₽
glm-4.5v

glm-4.5v

Z.AI
Text
Context64 000
Max output16 384
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)212,14 ₽
gpt-5-chat

gpt-5-chat

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)0,16 ₽
gpt-5-nano

gpt-5-nano

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
gpt-5-mini

gpt-5-mini

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)157,14 ₽
Output (per 1M tokens)157,14 ₽
Image prompt (1K)0,16 ₽
gpt-5

gpt-5

ChatGPT
Text
Context400 000
Max output4 096
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)0,16 ₽
gpt-oss-20b

gpt-oss-20b

ChatGPT
Text
Context131 072
Max output117 964
Input (per 1M tokens)3,54 ₽
Output (per 1M tokens)15,32 ₽
gpt-oss-120b

gpt-oss-120b

ChatGPT
Text
Context131 072
Max output117 964
Input (per 1M tokens)4,36 ₽
Output (per 1M tokens)20,04 ₽
claude-opus-4.1

claude-opus-4.1

Claude
Text
Context200 000
Max output32 000
Input (per 1M tokens)1 767,86 ₽
Output (per 1M tokens)8 839,29 ₽
qwen-image

qwen-image

Qwen image
Images
Context4 095
Max output4 096
Per image4,42 ₽
flux-krea-dev

flux-krea-dev

Flux
Images
Context4 095
Max output4 096
Per image4,42 ₽
glm-4.5-air

glm-4.5-air

Z.AI
Text
Context128 000
Max output98 304
Input (per 1M tokens)15,32 ₽
Output (per 1M tokens)100,18 ₽
glm-4.5

glm-4.5

Z.AI
Text
Context128 000
Max output98 304
Input (per 1M tokens)70,71 ₽
Output (per 1M tokens)259,29 ₽
qwen3-235b-a22b-thinking-2507

qwen3-235b-a22b-thinking-2507

Qwen
Text
Context131 072
Max output117 964
Input (per 1M tokens)27,11 ₽
Output (per 1M tokens)271,07 ₽
qwen3-235b-a22b-2507

qwen3-235b-a22b-2507

Qwen
Text
Context262 144
Max output16 384
Input (per 1M tokens)10,61 ₽
Output (per 1M tokens)64,82 ₽
qwen3-coder

qwen3-coder

Qwen
Text
Context1 000 000
Max output65 536
Input (per 1M tokens)35,36 ₽
Output (per 1M tokens)117,86 ₽

hunyuan-a13b-instruct

Tencent
Text
Context32 768
Max output117 964
Input (per 1M tokens)16,5 ₽
Output (per 1M tokens)67,18 ₽
kimi-k2

kimi-k2

Moonshot AI
Text
Context131 072
Max output100 352
Input (per 1M tokens)67,18 ₽
Output (per 1M tokens)271,07 ₽
ltx-video-0.9.7-distilled

ltx-video-0.9.7-distilled

Lightricks
Video
Context4 095
Max output4 096
Per second2,47 ₽
flux-kontext-dev

flux-kontext-dev

Flux
Images
Context4 095
Max output4 096
Per image4,42 ₽
mistral-small-3.2-24b-instruct

mistral-small-3.2-24b-instruct

Mistral
Text
Context32 768
Max output16 384
Input (per 1M tokens)8,84 ₽
Output (per 1M tokens)23,57 ₽
kling-v2.1

kling-v2.1

Kwaivgi
Video
Context4 095
Max output4 096
Per second8,84 ₽
veo-3-fast

veo-3-fast

Veo
Video
Context4 095
Max output32 000
Per second26,52 ₽
gemini-2.5-pro-preview-05-06

gemini-2.5-pro-preview-05-06

Gemini
Text
Context1 048 576
Max output65 535
Input (per 1M tokens)147,32 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)< 0.01 ₽
flux-kontext-max

flux-kontext-max

Flux
Images
Context4 095
Max output4 096
Per image14,14 ₽
deepseek-r1-0528

deepseek-r1-0528

Deepseek
Text
Context163 840
Max output32 768
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)253,39 ₽
gen4-turbo

gen4-turbo

Runway
Video
Context4 095
Max output4 096
Per second4,71 ₽
Gen3A-turbo

Gen3A-turbo

Runway
Video
Context4 095
Max output4 096
Per second4,71 ₽
flux-kontext-pro

flux-kontext-pro

Flux
Images
Context4 095
Max output4 096
Per image7,07 ₽
claude-sonnet-4

claude-sonnet-4

Claude
Text
Context200 000
Max output64 000
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)1 767,86 ₽
claude-opus-4

claude-opus-4

Claude
Text
Context200 000
Max output32 000
Input (per 1M tokens)1 767,86 ₽
Output (per 1M tokens)8 839,29 ₽
ltx-video-0.9.7

ltx-video-0.9.7

Lightricks
Video
Context4 095
Max output4 096
Per second12,02 ₽
mistral-medium-3

mistral-medium-3

Mistral
Text
Context131 072
Max output104 857
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)235,71 ₽
qwen3-235b-a22b

qwen3-235b-a22b

Qwen
Text
Context40 960
Max output8 192
Input (per 1M tokens)53,63 ₽
Output (per 1M tokens)214,5 ₽
qwen3-30b-a3b

qwen3-30b-a3b

Qwen
Text
Context40 960
Max output16 384
Input (per 1M tokens)14,14 ₽
Output (per 1M tokens)58,93 ₽
gpt-image-1

gpt-image-1

GPT Image
Images
Context4 095
Max output4 096
Per generation1,28 ₽

o4-mini-high

OpenAI
Text
Context200 000
Max output100 000
Input (per 1M tokens)129,64 ₽
Output (per 1M tokens)518,57 ₽
assemblyai-nano

assemblyai-nano

Транскрибация
Audio
Context4 095
Max output4 096
Audio0,31 ₽

gpt-4.1-nano

OpenAI
Text
Context1 047 576
Max output4 096
Input (per 1M tokens)11,79 ₽
Output (per 1M tokens)47,14 ₽
Image prompt (1K)0,16 ₽
gpt-4.1-mini

gpt-4.1-mini

ChatGPT
Text
Context1 047 576
Max output4 096
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)188,57 ₽
Image prompt (1K)0,16 ₽
gpt-4.1

gpt-4.1

ChatGPT
Text
Context1 047 576
Max output4 096
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)942,86 ₽
Image prompt (1K)0,16 ₽
o4-mini

o4-mini

ChatGPT
Text
Context200 000
Max output100 000
Input (per 1M tokens)129,64 ₽
Output (per 1M tokens)518,57 ₽
o3

o3

ChatGPT
Text
Context200 000
Max output100 000
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)942,86 ₽
llama-4-maverick

llama-4-maverick

Llama
Text
Context524 288
Max output16 384
Input (per 1M tokens)23,57 ₽
Output (per 1M tokens)94,29 ₽
assemblyai-best

assemblyai-best

Транскрибация
Audio
Context4 095
Max output4 096
Audio0,86 ₽
gemma-3-12b-it

gemma-3-12b-it

Gemini
Text
Context131 072
Max output16 384
Input (per 1M tokens)5,89 ₽
Output (per 1M tokens)17,68 ₽
gemma-3-4b-it

gemma-3-4b-it

Gemini
Text
Context131 072
Max output16 384
Input (per 1M tokens)5,89 ₽
Output (per 1M tokens)11,79 ₽
deepseek-chat-v3-0324

deepseek-chat-v3-0324

Deepseek
Text
Context131 072
Max output147 456
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)117,86 ₽
mistral-small-3.1-24b-instruct

mistral-small-3.1-24b-instruct

Mistral
Text
Context128 000
Max output102 400
Input (per 1M tokens)41,37 ₽
Output (per 1M tokens)65,41 ₽

o1-pro

OpenAI
Text
Context4 095
Max output100 000
Input (per 1M tokens)17 678,57 ₽
Output (per 1M tokens)70 714,29 ₽
gemma-3-27b-it

gemma-3-27b-it

Gemini
Text
Context128 000
Max output117 964
Input (per 1M tokens)9,43 ₽
Output (per 1M tokens)53,04 ₽
sonar-reasoning-pro

sonar-reasoning-pro

Perplexity
Text
Context128 000
Max output115 200
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)942,86 ₽
sonar-pro

sonar-pro

Perplexity
Text
Context200 000
Max output8 000
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)1 767,86 ₽
sonar-deep-research

sonar-deep-research

Perplexity
Text
Context200 000
Max output115 200
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)942,86 ₽
qwen2.5-vl-72b-instruct

qwen2.5-vl-72b-instruct

Qwen
Text
Context32 000
Max output28 800
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)88,39 ₽
mistral-saba

mistral-saba

Mistral
Text
Context32 000
Max output26 214
Input (per 1M tokens)23,57 ₽
Output (per 1M tokens)70,71 ₽

aion-rp-llama-3.1-8b

AionLabs
Text
Context32 768
Max output29 491
Input (per 1M tokens)94,29 ₽
Output (per 1M tokens)188,57 ₽
mistral-small-24b-instruct-2501

mistral-small-24b-instruct-2501

Mistral
Text
Context32 000
Max output16 384
Input (per 1M tokens)5,89 ₽
Output (per 1M tokens)9,43 ₽
sonar

sonar

Perplexity
Text
Context127 072
Max output114 364
Input (per 1M tokens)117,86 ₽
Output (per 1M tokens)117,86 ₽
deepseek-r1

deepseek-r1

Deepseek
Text
Context64 000
Max output16 000
Input (per 1M tokens)82,5 ₽
Output (per 1M tokens)294,64 ₽

phi-4

Phi
Text
Context16 384
Max output14 745
Input (per 1M tokens)8,25 ₽
Output (per 1M tokens)16,5 ₽
kling-v1.6-standard

kling-v1.6-standard

Kwaivgi
Video
Context4 095
Max output4 096
Per second8,84 ₽
kling-v1.6-pro

kling-v1.6-pro

Kwaivgi
Video
Context4 095
Max output4 096
Per second16,79 ₽

o1

OpenAI
Text
Context200 000
Max output100 000
Input (per 1M tokens)1 767,86 ₽
Output (per 1M tokens)7 071,43 ₽

recraft-v3

Recraft
TextImages
Context4 095
Max output58 982
Per image4,71 ₽
llama-3.3-70b-instruct

llama-3.3-70b-instruct

Llama
Text
Context128 000
Max output115 200
Input (per 1M tokens)83,68 ₽
Output (per 1M tokens)83,68 ₽

l3-lunaris-8b

Llama
Text
Context8 192
Max output7 372
Input (per 1M tokens)4,71 ₽
Output (per 1M tokens)5,89 ₽
ltx-video

ltx-video

Lightricks
Video
Context4 095
Max output4 096
Per second2,3 ₽
flux-canny-pro

flux-canny-pro

Flux
Images
Context4 095
Max output4 096
Per image8,84 ₽
flux-depth-pro

flux-depth-pro

Flux
Images
Context4 095
Max output4 096
Per image8,84 ₽
flux-redux-dev

flux-redux-dev

Flux
Images
Context4 095
Max output4 096
Per image4,42 ₽
flux-fill-pro

flux-fill-pro

Flux
Images
Context4 095
Max output4 096
Per image8,84 ₽
flux-depth-dev

flux-depth-dev

Flux
Images
Context4 095
Max output4 096
Per image4,42 ₽
flux-fill-dev

flux-fill-dev

Flux
Images
Context4 095
Max output4 096
Per image7,07 ₽
mistral-large-2407

mistral-large-2407

Mistral
Text
Context128 000
Max output104 857
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)707,14 ₽

unslopnemo-12b

Unslopnemo
Text
Context32 000
Max output26 214
Input (per 1M tokens)47,14 ₽
Output (per 1M tokens)47,14 ₽
flux-1.1-pro-ultra

flux-1.1-pro-ultra

Flux
Images
Context4 095
Max output4 096
Per image10,61 ₽
stable-diffusion-3.5-medium

stable-diffusion-3.5-medium

Stable Diffusion
Images
Context4 095
Max output4 096
Per image6,19 ₽

magnum-v4-72b

Other
Text
Context32 768
Max output4 096
Input (per 1M tokens)353,57 ₽
Output (per 1M tokens)589,29 ₽
stable-diffusion-3.5-large-turbo

stable-diffusion-3.5-large-turbo

Stable Diffusion
Images
Context4 095
Max output4 096
Per image7,07 ₽
stable-diffusion-3.5-large

stable-diffusion-3.5-large

Stable Diffusion
Images
Context4 095
Max output4 096
Per image11,49 ₽
qwen-2.5-7b-instruct

qwen-2.5-7b-instruct

Qwen
Text
Context131 072
Max output29 491
Input (per 1M tokens)11,79 ₽
Output (per 1M tokens)23,57 ₽
flux-1.1-pro

flux-1.1-pro

Flux
Images
Context4 095
Max output4 096
Per image4,71 ₽

rocinante-12b

Unslopnemo
Text
Context32 768
Max output58 982
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)58,93 ₽
claude-3-haiku

claude-3-haiku

Claude
Text
Context200 000
Max output4 096
Input (per 1M tokens)29,46 ₽
Output (per 1M tokens)147,32 ₽
deepseek-chat

deepseek-chat

Deepseek
Text
Context64 000
Max output16 000
Input (per 1M tokens)30,34 ₽
Output (per 1M tokens)121,24 ₽

mythomax-l2-13b

Other
Text
Context4 096
Max output3 686
Input (per 1M tokens)7,07 ₽
Output (per 1M tokens)7,07 ₽

hermes-3-llama-3.1-405b

Nous
Text
Context131 072
Max output16 384
Input (per 1M tokens)117,86 ₽
Output (per 1M tokens)117,86 ₽

l3.1-euryale-70b

Llama
Text
Context8 192
Max output16 384
Input (per 1M tokens)100,18 ₽
Output (per 1M tokens)100,18 ₽
mistral-large

mistral-large

Mistral
Text
Context128 000
Max output102 400
Input (per 1M tokens)235,71 ₽
Output (per 1M tokens)707,14 ₽
mistral-nemo

mistral-nemo

Mistral
Text
Context128 000
Max output16 384
Input (per 1M tokens)2,24 ₽
Output (per 1M tokens)3,54 ₽
flux-schnell-lora

flux-schnell-lora

Flux
Images
Context4 095
Max output4 096
Per image3,54 ₽
flux-pro

flux-pro

Flux
Images
Context4 095
Max output4 096
Per image6,48 ₽
flux-schnell

flux-schnell

Flux
Images
Context4 095
Max output4 096
Per image0,26 ₽
flux-dev

flux-dev

Flux
Images
Context4 095
Max output4 096
Per image2,62 ₽
stable-diffusion-3

stable-diffusion-3

Stable Diffusion
Images
Context4 095
Max output4 096
Per image6,19 ₽
gpt-4o

gpt-4o

ChatGPT
Text
Context128 000
Max output4 096
Input (per 1M tokens)294,64 ₽
Output (per 1M tokens)1 178,57 ₽
Image prompt (1K)0,16 ₽

bge-reranker-v2-m3

Embeddings
Context4 095
Max output4 096
gpt-4-turbo-preview

gpt-4-turbo-preview

ChatGPT
Text
Context128 000
Max output4 096
Input (per 1M tokens)1 178,57 ₽
Output (per 1M tokens)3 535,71 ₽

text-embedding-3-large

Embeddings
Embeddings
Context4 095
Max output2 703
Input (per 1M tokens)18,62 ₽

text-embedding-3-small

Embeddings
Embeddings
Context4 095
Max output2 703
Input (per 1M tokens)2,95 ₽
tts-1-hd

tts-1-hd

TTS
Audio
Context4 095
Max output4 096
Per 1K characters4,28 ₽
tts-1

tts-1

TTS
Audio
Context4 095
Max output4 096
Per 1K characters1,77 ₽
gpt-3.5-turbo

gpt-3.5-turbo

ChatGPT
Text
Context16 385
Max output4 096
Input (per 1M tokens)58,93 ₽
Output (per 1M tokens)176,79 ₽
whisper-1

whisper-1

ChatGPT
Audio
Context4 095
Max output4 096
Audio0,86 ₽

text-embedding-ada-002

Embeddings
Embeddings
Context4 095
Max output4 096
Input (per 1M tokens)14,26 ₽
* Our markup on these prices is 5%, which is included in the cost of packages except Basic (Premium and higher)* Anthropic, Google, and OpenAI models have a 45% discount when using BatchAPI

What are Caps?

Caps is the internal currency of the service, used to measure the cost of requests and responses of neural networks. It is fixed and depends on the model complexity: number of parameters, multimodality, and overall power.

    For example:
  • ChatGPT-3.5 — ~1 Caps per token
  • ChatGPT o1-Pro — ~400+ Caps per token
The higher your tariff, the better the price: 1 million Caps is cheaper on Elite than on Basic.

Still have questions?

What are tokens?

Tokens are units of text processing by the neural network, representing parts of words, entire words, or punctuation marks that determine the cost of requests.

How long will 1 million tokens last?

One million tokens of the GPT-4o model are enough to rewrite “The Brothers Karamazov” by F. M. Dostoevsky.

What to do if I run out of tokens?

Purchase additional Caps in your personal account — https://bothub.chat/profile

Why does the neural network pretend to be another?

The neural network does not know what model it is if it is not specified in the system prompt. The “self-identification” of the model without instruction is influenced by many factors, one of them being the model's data training set.

What is context in a neural network?

Context is the amount of information that the neural network retains in memory during a dialogue, affecting the coherence of responses and understanding of previous requests.

What is the context of different neural network models?

GPT o1 Pro and Claude 3.7 Sonnet support up to 200K tokens, Gemini 2.5 Pro works with 1KK, while Gemini 2.0 Pro supports up to 2KK tokens.

What file formats do models read?

Neural networks process TXT, PDF, DOCX, XLSX, CSV, JSON, XML, HTML, as well as images JPG, PNG, and audio files MP3, MP4.

Can neural networks be used for free?

There are free models with the postfix “:free” and “-exp” that can be used for free through a mini-window on the main page, as well as the model page.

How do neural network models differ from each other?

Models differ in the volume of training data, context size, processing speed, specialization in specific tasks, and ability to work with multimodal content.

How to use models via API?

To integrate models into your applications, you need to obtain an API key in your personal account. More details can be found here: https://bothub.chat/api/documentation/ru.

Can neural networks be used to automate business processes?

Neural networks effectively automate routine tasks of document management, data processing, customer support, and analytics, integrating with existing business systems via API.

Support ServiceOpen from 10:00 to 18:00 MSK