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. | 1M | 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 | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 15% | — |
| Overview | ||
| Company | Mistral | |
| Release date | Jan 30 2025 | Feb 26 2024 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Haiku 5.5Mistral LargevsClaude Haiku 5.5Gemini 2.0 FlashvsGPT-6.1 SolMistral LargevsGPT-6.1 SolGemini 2.0 FlashvsMuse Spark OpenMistral LargevsMuse Spark OpenGemini 2.0 FlashvsGrok 4.7Mistral LargevsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017Mistral LargevsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsKimi K3Mistral LargevsKimi K3Frequently asked questions
Gemini 2.0 Flash 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 339 days before Gemini 2.0 Flash, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 32k (Mistral Large).
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash and Mistral Large don't publish scores on any of the same benchmarks.