Coding Models

AI models specialized for code generation and programming

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Category

AllChat125Image80Video64Audio72Embedding25Translation15Rerank1Text to Speech19Speech to Text20Music123D8Vision83Code31

All Model Series

13 series

Claude 4

⭐
Anthropic
Save 35%
ChatVisionCode
5 modelsOpen Series

GPT 5.4

⭐
OpenAI
Save 0%-70%
ChatVisionCode
4 modelsOpen Series

GPT 5.6

⭐
OpenAI
Save 70%
ChatVisionCode
3 modelsOpen Series

GPT 5.5

⭐
OpenAI
Save 0%-70%
ChatVisionCode
2 modelsOpen Series

GPT 5.2

⭐
OpenAI
Save 0%-30%
ChatVisionCode
2 modelsOpen Series

GPT 5.3

⭐
OpenAI
Save 30%
ChatVisionCode
1 modelsOpen Series

Grok

xAI
-
ChatImageVideoAudioText to SpeechSpeech to TextVisionCode
19 modelsOpen Series

Doubao

ByteDance
-
ChatEmbeddingTranslationVisionCode
18 modelsOpen Series

Qwen 3 / QwQ

Alibaba Cloud
-
ChatVisionCode
10 modelsOpen Series

GPT 5

OpenAI
Save 0%-30%
ChatVisionCode
5 modelsOpen Series

Kimi

Moonshot
-
ChatVisionCode
4 modelsOpen Series

Claude 5

Anthropic
Save 35%
ChatVisionCode
2 modelsOpen Series

GPT 5.1

OpenAI
Save 30%
ChatVisionCode
1 modelsOpen Series

Choosing Coding Models models

Production model choices depend on family coverage, provider support, pricing units, request shape, latency, and output quality.

Selection signals

  • Match the model to the request shape and output type you actually need.
  • Compare pricing units before estimating production spend.
  • Run a small live test before routing critical workloads.

FAQ

What makes a good Coding Models model?

A strong fit matches the task, quality bar, latency target, and budget. Small evaluation sets reveal quality and reliability gaps before production traffic depends on a model.

Can I switch providers later?

Yes. TokenLab keeps supported models in one catalog and one API surface, so provider changes do not require rebuilding account and key management.

Related pages

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