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 | Sep 24 2024 | Feb 26 2024 |
| Access | Closed | Closed |
| Model details | View model | View model |
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Gemini 1.5 Pro-002 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 211 days before Gemini 1.5 Pro-002, so benchmark comparisons should account for the intervening progress.
Context windows are 2M (Gemini 1.5 Pro-002) vs 32k (Mistral Large).
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro-002 and Mistral Large don't publish scores on any of the same benchmarks.