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. | 24B | — |
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. | 40k | 200k |
| 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. | — | $1.10OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $4.40OpenAI |
| — | $440OpenAI | |
| Overview | ||
| Company | Mistral | OpenAI |
| Release date | Jun 10 2025 | Jan 31 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Magistral SmallvsClaude Haiku 5.5o3-mini-highvsClaude Haiku 5.5Magistral SmallvsGemini 4 Argono3-mini-highvsGemini 4 ArgonMagistral SmallvsMuse Spark Openo3-mini-highvsMuse Spark OpenMagistral SmallvsGrok 4.7o3-mini-highvsGrok 4.7Magistral SmallvsDeepSeek-V4.1-Flash-1017o3-mini-highvsDeepSeek-V4.1-Flash-1017Magistral SmallvsKimi K3o3-mini-highvsKimi K3Frequently asked questions
Magistral Small and o3-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. o3-mini-high shipped 130 days before Magistral Small, so benchmark comparisons should account for the intervening progress.
Context windows are 40k (Magistral Small) vs 200k (o3-mini-high).
Direct benchmark comparisons are unavailable — Magistral Small and o3-mini-high don't publish scores on any of the same benchmarks.