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 | 256k |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 49% | — |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | Oct 22 2024 | Jul 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3.5 Sonnet (upgraded)vsGPT-6.1 SolCodestral Mamba 7BvsGPT-6.1 SolClaude 3.5 Sonnet (upgraded)vsGemini 4 ArgonCodestral Mamba 7BvsGemini 4 ArgonClaude 3.5 Sonnet (upgraded)vsMuse Spark OpenCodestral Mamba 7BvsMuse Spark OpenClaude 3.5 Sonnet (upgraded)vsGrok 4.7Codestral Mamba 7BvsGrok 4.7Claude 3.5 Sonnet (upgraded)vsDeepSeek-V4.1-Flash-1017Codestral Mamba 7BvsDeepSeek-V4.1-Flash-1017Claude 3.5 Sonnet (upgraded)vsKimi K3Codestral Mamba 7BvsKimi K3Frequently asked questions
Claude 3.5 Sonnet (upgraded) and Codestral Mamba 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Codestral Mamba 7B shipped 98 days before Claude 3.5 Sonnet (upgraded), so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3.5 Sonnet (upgraded)) vs 256k (Codestral Mamba 7B). Claude 3.5 Sonnet (upgraded) is closed, while Codestral Mamba 7B is open weight.
Direct benchmark comparisons are unavailable — Claude 3.5 Sonnet (upgraded) and Codestral Mamba 7B don't publish scores on any of the same benchmarks.