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. | 8B/70B | — |
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. | 8k | 32k |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Apr 18 2024 | Feb 26 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
LLaMA 3 (8B/70B)vsClaude Haiku 5.5Mistral SmallvsClaude Haiku 5.5LLaMA 3 (8B/70B)vsGPT-6.1 SolMistral SmallvsGPT-6.1 SolLLaMA 3 (8B/70B)vsGemini 4 ArgonMistral SmallvsGemini 4 ArgonLLaMA 3 (8B/70B)vsGrok 4.7Mistral SmallvsGrok 4.7LLaMA 3 (8B/70B)vsDeepSeek-V4.1-Flash-1017Mistral SmallvsDeepSeek-V4.1-Flash-1017LLaMA 3 (8B/70B)vsKimi K3Mistral SmallvsKimi K3Frequently asked questions
LLaMA 3 (8B/70B) and Mistral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Small shipped 52 days before LLaMA 3 (8B/70B), so benchmark comparisons should account for the intervening progress.
Context windows are 8k (LLaMA 3 (8B/70B)) vs 32k (Mistral Small). LLaMA 3 (8B/70B) is open weight, while Mistral Small is closed.
Direct benchmark comparisons are unavailable — LLaMA 3 (8B/70B) and Mistral Small don't publish scores on any of the same benchmarks.