Compare AI models
| Specifications | ||
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 2M | 32k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $2.00Mistral |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $6.00Mistral |
| — | $700Mistral | |
| Overview | ||
| Company | Mistral | |
| Release date | Feb 5 2025 | Feb 26 2024 |
| Access | Closed | Closed |
| Model details | View model | View model |
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Gemini 2.0 Pro and Mistral Large don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Large shipped 345 days before Gemini 2.0 Pro, so benchmark comparisons should account for the intervening progress.
Context windows are 2M (Gemini 2.0 Pro) vs 32k (Mistral Large).
Direct benchmark comparisons are unavailable — Gemini 2.0 Pro and Mistral Large don't publish scores on any of the same benchmarks.