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. | — | 47B |
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 |
| These models have no shared benchmark scores. | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 40.4% | — |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | Mar 4 2024 | Dec 8 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3 SonnetvsGPT-6.1 SolMixtral 8×7BvsGPT-6.1 SolClaude 3 SonnetvsGemini 4 ArgonMixtral 8×7BvsGemini 4 ArgonClaude 3 SonnetvsMuse Spark OpenMixtral 8×7BvsMuse Spark OpenClaude 3 SonnetvsGrok 4.7Mixtral 8×7BvsGrok 4.7Claude 3 SonnetvsDeepSeek-V4.1-Flash-1017Mixtral 8×7BvsDeepSeek-V4.1-Flash-1017Claude 3 SonnetvsKimi K3Mixtral 8×7BvsKimi K3Frequently asked questions
Claude 3 Sonnet and Mixtral 8×7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×7B shipped 87 days before Claude 3 Sonnet, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3 Sonnet) vs 32k (Mixtral 8×7B). Claude 3 Sonnet is closed, while Mixtral 8×7B is open weight.
Direct benchmark comparisons are unavailable — Claude 3 Sonnet and Mixtral 8×7B don't publish scores on any of the same benchmarks.