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. | 200k | 32k |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | Nov 21 2023 | Jul 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 2.1vsGPT-6.1 SolMathstral 7BvsGPT-6.1 SolClaude 2.1vsGemini 4 ArgonMathstral 7BvsGemini 4 ArgonClaude 2.1vsMuse Spark OpenMathstral 7BvsMuse Spark OpenClaude 2.1vsGrok 4.7Mathstral 7BvsGrok 4.7Claude 2.1vsDeepSeek-V4.1-Flash-1017Mathstral 7BvsDeepSeek-V4.1-Flash-1017Claude 2.1vsKimi K3Mathstral 7BvsKimi K3Frequently asked questions
Claude 2.1 and Mathstral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2.1 shipped 238 days before Mathstral 7B, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 2.1) vs 32k (Mathstral 7B). Claude 2.1 is closed, while Mathstral 7B is open weight.
Direct benchmark comparisons are unavailable — Claude 2.1 and Mathstral 7B don't publish scores on any of the same benchmarks.