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. | — | 9B |
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. | 32k | 128k |
| 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. | — | 5% |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 71.1% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 64% |
| Overview | ||
| Company | Mistral | NVIDIA |
| Release date | Dec 11 2023 | Aug 18 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral MediumvsClaude Haiku 5.5Nemotron Nano 2vsClaude Haiku 5.5Mistral MediumvsGPT-6.1 SolNemotron Nano 2vsGPT-6.1 SolMistral MediumvsGemini 4 ArgonNemotron Nano 2vsGemini 4 ArgonMistral MediumvsMuse Spark OpenNemotron Nano 2vsMuse Spark OpenMistral MediumvsGrok 4.7Nemotron Nano 2vsGrok 4.7Mistral MediumvsDeepSeek-V4.1-Flash-1017Nemotron Nano 2vsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral Medium and Nemotron Nano 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Medium shipped 616 days before Nemotron Nano 2, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Mistral Medium) vs 128k (Nemotron Nano 2). Mistral Medium is closed, while Nemotron Nano 2 is open weight.
Direct benchmark comparisons are unavailable — Mistral Medium and Nemotron Nano 2 don't publish scores on any of the same benchmarks.