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/405B | — |
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. | 128k | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.02DeepInfra | $0.40Mistral |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.04DeepInfra | $2.00Mistral |
| $6.00DeepInfra · fp8 | $180Mistral · zdr | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 14% | — |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Jul 23 2024 | May 7 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
LLaMA 3.1vsClaude Haiku 5.5Mistral Medium 3vsClaude Haiku 5.5LLaMA 3.1vsGPT-6.1 SolMistral Medium 3vsGPT-6.1 SolLLaMA 3.1vsGemini 4 ArgonMistral Medium 3vsGemini 4 ArgonLLaMA 3.1vsGrok 4.7Mistral Medium 3vsGrok 4.7LLaMA 3.1vsDeepSeek-V4.1-Flash-1017Mistral Medium 3vsDeepSeek-V4.1-Flash-1017LLaMA 3.1vsKimi K3Mistral Medium 3vsKimi K3Frequently asked questions
LLaMA 3.1 and Mistral Medium 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.1 shipped 288 days before Mistral Medium 3, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (LLaMA 3.1) vs 128k (Mistral Medium 3). LLaMA 3.1 is open weight, while Mistral Medium 3 is closed.
Direct benchmark comparisons are unavailable — LLaMA 3.1 and Mistral Medium 3 don't publish scores on any of the same benchmarks.