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. | 70B | 3B |
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. | $0.10DeepInfra | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.32DeepInfra | — |
| $36.00DeepInfra · turbo · fp8 | — | |
| Overview | ||
| Company | Meta | Mistral |
| Release date | Dec 6 2024 | Oct 16 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
LLaMA 3.3vsClaude Haiku 5.5Ministral 3BvsClaude Haiku 5.5LLaMA 3.3vsGPT-6.1 SolMinistral 3BvsGPT-6.1 SolLLaMA 3.3vsGemini 4 ArgonMinistral 3BvsGemini 4 ArgonLLaMA 3.3vsGrok 4.7Ministral 3BvsGrok 4.7LLaMA 3.3vsDeepSeek-V4.1-Flash-1017Ministral 3BvsDeepSeek-V4.1-Flash-1017LLaMA 3.3vsKimi K3Ministral 3BvsKimi K3Frequently asked questions
LLaMA 3.3 and Ministral 3B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Ministral 3B shipped 51 days before LLaMA 3.3, so benchmark comparisons should account for the intervening progress.
LLaMA 3.3 has 70B parameters, while Ministral 3B has 3B. Context windows are 128k (LLaMA 3.3) vs 128k (Ministral 3B).
Direct benchmark comparisons are unavailable — LLaMA 3.3 and Ministral 3B don't publish scores on any of the same benchmarks.