How does Devstral 2 2512 rank among AI models?
Devstral 2 2512 has no public ModelCap Index position as of 6 November 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.
How much does Devstral 2 2512 cost per 1M tokens?
Devstral 2 2512 is listed at $0.40 per 1M input tokens and $2.00 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.80 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Devstral 2 2512?
Devstral 2 2512 has a published context window of 262K tokens (262,144). The snapshot lists a 209,715 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Is Devstral 2 2512 open-weight?
Restricted license (other). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is mistralai/Devstral-2-123B-Instruct-2512 on Hugging Face.
Which API providers serve Devstral 2 2512?
One provider serves Devstral 2 2512 through OpenRouter as of 6 November 2026: Mistral. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has Devstral 2 2512 been evaluated on?
Devstral 2 2512 has published results on 1 public board tracked by ModelCap as of 6 November 2026: SWE-bench 53.8% (#33 of 47). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.