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. | 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 | 200k |
| Overview | ||
| Company | Mistral | OpenAI |
| Release date | Oct 16 2024 | May 16 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Ministral 3BvsClaude Fable 5.2codex-mini-latestvsClaude Fable 5.2Ministral 3BvsGemini 4 Carboncodex-mini-latestvsGemini 4 CarbonMinistral 3BvsMuse Embercodex-mini-latestvsMuse EmberMinistral 3BvsGrok 4.7codex-mini-latestvsGrok 4.7Ministral 3BvsDeepSeek-V4.1-Flash-1017codex-mini-latestvsDeepSeek-V4.1-Flash-1017Ministral 3BvsKimi K3.1 Procodex-mini-latestvsKimi K3.1 ProFrequently asked questions
Ministral 3B and codex-mini-latest don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Ministral 3B shipped 212 days before codex-mini-latest, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Ministral 3B) vs 200k (codex-mini-latest).
Direct benchmark comparisons are unavailable — Ministral 3B and codex-mini-latest don't publish scores on any of the same benchmarks.