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 | 30B |
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 | 1M |
| 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. | — | $0.025Darkbloom |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $0.12Darkbloom |
| — | $11.00Darkbloom · int4 | |
| 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 | Jun 10 2025 | Aug 11 2026 |
| Access | Closed | Open Source |
| Model details | View model | View model |
Other comparisons
Magistral SmallvsClaude Haiku 5.5Nemotron 3.5 LightningvsClaude Haiku 5.5Magistral SmallvsGPT-6.1 SolNemotron 3.5 LightningvsGPT-6.1 SolMagistral SmallvsGemini 4 ArgonNemotron 3.5 LightningvsGemini 4 ArgonMagistral SmallvsMuse Spark OpenNemotron 3.5 LightningvsMuse Spark OpenMagistral SmallvsGrok 4.7Nemotron 3.5 LightningvsGrok 4.7Magistral SmallvsDeepSeek-V4.1-Flash-1017Nemotron 3.5 LightningvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Magistral Small and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Magistral Small shipped 427 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Magistral Small has 24B parameters, while Nemotron 3.5 Lightning has 30B. Context windows are 40k (Magistral Small) vs 1M (Nemotron 3.5 Lightning). Magistral Small is closed, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — Magistral Small and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.