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. | 256k | 256k |
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.10 | $1.00 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $0.10 | $2.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.20 |
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. | $0.10Mistral | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.10Mistral | — |
| $25.00Mistral list price | $300SpaceXSI list price | |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 70.8% |
| Overview | ||
| Company | Mistral | SpaceXSI |
| Release date | Dec 2 2025 | Aug 28 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Ministral 3 3B-25-12vsClaude Haiku 5.5Grok Code Fast 1vsClaude Haiku 5.5Ministral 3 3B-25-12vsGPT-6.1 SolGrok Code Fast 1vsGPT-6.1 SolMinistral 3 3B-25-12vsGemini 4 ArgonGrok Code Fast 1vsGemini 4 ArgonMinistral 3 3B-25-12vsMuse Spark OpenGrok Code Fast 1vsMuse Spark OpenMinistral 3 3B-25-12vsDeepSeek-V4.1-Flash-1017Grok Code Fast 1vsDeepSeek-V4.1-Flash-1017Ministral 3 3B-25-12vsKimi K3Grok Code Fast 1vsKimi K3Frequently asked questions
Ministral 3 3B-25-12 and Grok Code Fast 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Ministral 3 3B-25-12 is cheaper on both input and output: $0.10 vs $1.00 per million input tokens, and $0.10 vs $2.00 per million output tokens. Figures are base-tier rates. Grok Code Fast 1 shipped 96 days before Ministral 3 3B-25-12, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Ministral 3 3B-25-12) vs 256k (Grok Code Fast 1). Ministral 3 3B-25-12 is open weight, while Grok Code Fast 1 is closed.
Direct benchmark comparisons are unavailable — Ministral 3 3B-25-12 and Grok Code Fast 1 don't publish scores on any of the same benchmarks.