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. | — | 48B |
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 | 1M |
| 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 | Moonshot AI |
| Release date | May 7 2025 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral Medium 3vsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5Mistral Medium 3vsGPT-6.1 SolKimi LinearvsGPT-6.1 SolMistral Medium 3vsGemini 4 ArgonKimi LinearvsGemini 4 ArgonMistral Medium 3vsMuse Spark OpenKimi LinearvsMuse Spark OpenMistral Medium 3vsGrok 4.7Kimi LinearvsGrok 4.7Mistral Medium 3vsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral Medium 3 and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Medium 3 shipped 176 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Mistral Medium 3) vs 1M (Kimi Linear). Mistral Medium 3 is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Mistral Medium 3 and Kimi Linear don't publish scores on any of the same benchmarks.