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 | 256k |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Apr 18 2024 | Jan 13 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
LLaMA 3 (8B/70B)vsClaude Haiku 5.5Codestral 25.01vsClaude Haiku 5.5LLaMA 3 (8B/70B)vsGPT-6.1 SolCodestral 25.01vsGPT-6.1 SolLLaMA 3 (8B/70B)vsGemini 4 ArgonCodestral 25.01vsGemini 4 ArgonLLaMA 3 (8B/70B)vsGrok 4.7Codestral 25.01vsGrok 4.7LLaMA 3 (8B/70B)vsDeepSeek-V4.1-Flash-1017Codestral 25.01vsDeepSeek-V4.1-Flash-1017LLaMA 3 (8B/70B)vsKimi K3Codestral 25.01vsKimi K3Frequently asked questions
LLaMA 3 (8B/70B) and Codestral 25.01 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3 (8B/70B) shipped 270 days before Codestral 25.01, so benchmark comparisons should account for the intervening progress.
Context windows are 8k (LLaMA 3 (8B/70B)) vs 256k (Codestral 25.01). LLaMA 3 (8B/70B) is open weight, while Codestral 25.01 is closed.
Direct benchmark comparisons are unavailable — LLaMA 3 (8B/70B) and Codestral 25.01 don't publish scores on any of the same benchmarks.