Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | 47B |
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. | 128k | 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. | $0.40Mistral | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $2.00Mistral | — |
| $180Mistral · zdr | — | |
| Overview | ||
| Company | Mistral | Mistral |
| Release date | May 7 2025 | Dec 8 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Mistral Medium 3 and Mixtral 8×7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×7B shipped 516 days before Mistral Medium 3, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Mistral Medium 3) vs 32k (Mixtral 8×7B). Mistral Medium 3 is closed, while Mixtral 8×7B is open weight.
Direct benchmark comparisons are unavailable — Mistral Medium 3 and Mixtral 8×7B don't publish scores on any of the same benchmarks.