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. | 1.8B/3.25B | 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. | 32k | 128k |
| Overview | ||
| Company | Mistral | |
| Release date | Dec 6 2023 | Oct 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 NanovsClaude Haiku 5.5Ministral 3BvsClaude Haiku 5.5Gemini 1.0 NanovsGPT-6.1 SolMinistral 3BvsGPT-6.1 SolGemini 1.0 NanovsMuse Spark OpenMinistral 3BvsMuse Spark OpenGemini 1.0 NanovsGrok 4.7Ministral 3BvsGrok 4.7Gemini 1.0 NanovsDeepSeek-V4.1-Flash-1017Ministral 3BvsDeepSeek-V4.1-Flash-1017Gemini 1.0 NanovsKimi K3Ministral 3BvsKimi K3Frequently asked questions
Gemini 1.0 Nano and Ministral 3B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Nano shipped 315 days before Ministral 3B, so benchmark comparisons should account for the intervening progress.
Gemini 1.0 Nano has 1.8B/3.25B parameters, while Ministral 3B has 3B. Context windows are 32k (Gemini 1.0 Nano) vs 128k (Ministral 3B). Gemini 1.0 Nano is closed, while Ministral 3B is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and Ministral 3B don't publish scores on any of the same benchmarks.