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. | — | 7B |
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 |
| Overview | ||
| Company | Mistral | |
| Release date | May 14 2024 | Jul 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.5 FlashvsClaude Haiku 5.5Mathstral 7BvsClaude Haiku 5.5Gemini 1.5 FlashvsGPT-6.1 SolMathstral 7BvsGPT-6.1 SolGemini 1.5 FlashvsMuse Spark OpenMathstral 7BvsMuse Spark OpenGemini 1.5 FlashvsGrok 4.7Mathstral 7BvsGrok 4.7Gemini 1.5 FlashvsDeepSeek-V4.1-Flash-1017Mathstral 7BvsDeepSeek-V4.1-Flash-1017Gemini 1.5 FlashvsKimi K3Mathstral 7BvsKimi K3Frequently asked questions
Gemini 1.5 Flash and Mathstral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Flash shipped 63 days before Mathstral 7B, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Flash) vs 32k (Mathstral 7B). Gemini 1.5 Flash is closed, while Mathstral 7B is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Flash and Mathstral 7B don't publish scores on any of the same benchmarks.