OpenRouter Models API
Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters
The Pareto Router maintains a tiered shortlist of strong coding models, ranked by Artificial Analysis coding percentiles. Set min_coding_score between 0 and 1 on the pareto-router plugin to control how…
- Context
- 2M
- Max output
- Unknown
- Input
- Unknown
- Output
- Unknown
Recommended use cases
Strengths in this dataset
- 2,000,000-token context window
- text input
- 0 supported API parameters listed
Limits and caveats
- Provider behavior and pricing can change; verify the linked sources before production use.
Capability
Model-native facts
Model- Reasoning
- Unknown
- Open weights
- Unknown
Provider endpoint facts
Provider endpoint- Tool calling
- Not supported
- Structured output
- Not supported
- Streaming
- Unknown
- Prompt cache
- Unknown
- Batch
- Unknown
- Fine-tuning
- Unknown
Pareto Code Router Provider pricing
Provider endpoint: openrouter/pareto-code
- Input
- Unknown per 1M tokens
- Output
- Unknown per 1M tokens
- Cached input
- Unknown per 1M tokens
- Image output
- Unknown per 1M tokens
Sources and verification
Frequently asked questions
Answers are generated from the same sourced model and provider facts shown above.
The Pareto Router maintains a tiered shortlist of strong coding models, ranked by Artificial Analysis coding percentiles. Set min_coding_score between 0 and 1 on the pareto-router plugin to control how…
Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.