Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 30B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 1M |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.10 | — |
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 | — |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.10Mistral | $0.039Darkbloom |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.10Mistral | $0.16DeepInfra |
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. | — | 51.6% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 75.4% |
| Overview | ||
| Company | Mistral | NVIDIA |
| Release date | Dec 2 2025 | Aug 11 2026 |
| Access | Open Weight | Open Source |
| Model details | View model | View model |
Other comparisons
Ministral 3 3B-25-12vsClaude Sonnet 5.5Nemotron 3.5 LightningvsClaude Sonnet 5.5Ministral 3 3B-25-12vsGPT-6.1 SolNemotron 3.5 LightningvsGPT-6.1 SolMinistral 3 3B-25-12vsGemini 4 ArgonNemotron 3.5 LightningvsGemini 4 ArgonMinistral 3 3B-25-12vsMuse Spark 1.3Nemotron 3.5 LightningvsMuse Spark 1.3Ministral 3 3B-25-12vsGrok 4.7Nemotron 3.5 LightningvsGrok 4.7Ministral 3 3B-25-12vsDeepSeek-V4.1-FlashNemotron 3.5 LightningvsDeepSeek-V4.1-FlashFrequently asked questions
Ministral 3 3B-25-12 and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Ministral 3 3B-25-12 has a verified first-party API price: $0.10 per million input tokens and $0.10 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. Ministral 3 3B-25-12 shipped 252 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Ministral 3 3B-25-12 is open weight, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — Ministral 3 3B-25-12 and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.