Pareto Code Router

openrouter/pareto-code

Released Apr 21, 2026200,000 context

The Pareto Router is a way to have OpenRouter always pick a strong coding model for your needs without committing to a specific one. You express a single min_coding_score preference between 0 and 1, and the router routes your request to a coding model that meets that bar.

The Pareto Router is tuned for coding use cases. Under the hood it keeps a curated shortlist of strong coding models currently available on OpenRouter. The exact shortlist and selection logic evolve over time as new models land and benchmarks shift.

Pareto Code Router

openrouter/pareto-code

Released Apr 21, 2026200,000 context

The Pareto Router is a way to have OpenRouter always pick a strong coding model for your needs without committing to a specific one. You express a single min_coding_score preference between 0 and 1, and the router routes your request to a coding model that meets that bar.

The Pareto Router is tuned for coding use cases. Under the hood it keeps a curated shortlist of strong coding models currently available on OpenRouter. The exact shortlist and selection logic evolve over time as new models land and benchmarks shift.

Recent activity on Pareto Code Router

Token usage breakdown by model

1.

Gemini 3.1 Pro Preview

by google

13.2M

39.8%

2.

Kimi K2.6

by moonshotai

12.4M

37.3%

3.

Claude Opus 4.7

by anthropic

4.54M

13.7%

4.

GPT-5.4

by openai

3.08M

9.3%

5.

GLM 4.6

by z-ai

2K

0.0%

Sample code and API for Pareto Code Router

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.