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 | 1T |
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. | — | $0.57Novita |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $2.30Novita |
| — | $229Novita · fp8 | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 10% |
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. | — | 65.8% |
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | — | 4.7% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 75.1% |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Oct 16 2024 | Jul 11 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Ministral 3BvsClaude Haiku 5.5Kimi K2vsClaude Haiku 5.5Ministral 3BvsGPT-6.1 SolKimi K2vsGPT-6.1 SolMinistral 3BvsGemini 4 ArgonKimi K2vsGemini 4 ArgonMinistral 3BvsMuse Spark OpenKimi K2vsMuse Spark OpenMinistral 3BvsGrok 4.7Kimi K2vsGrok 4.7Ministral 3BvsDeepSeek-V4.1-Flash-1017Kimi K2vsDeepSeek-V4.1-Flash-1017Frequently asked questions
Ministral 3B and Kimi K2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Ministral 3B shipped 268 days before Kimi K2, so benchmark comparisons should account for the intervening progress.
Ministral 3B has 3B parameters, while Kimi K2 has 1T. Context windows are 128k (Ministral 3B) vs 128k (Kimi K2).
Direct benchmark comparisons are unavailable — Ministral 3B and Kimi K2 don't publish scores on any of the same benchmarks.