Model comparison
Ministral 3B vs Nemotron-4 15B
Ministral 3B has enough public results to be ranked (#338); Nemotron-4 15B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
NVIDIASummary
- They share 1 benchmark with published results for both.
- Ministral 3B has downloadable open weights; the other is API-only.
Side by side
| Ministral 3B | Nemotron-4 15B | |
|---|---|---|
| Provider | Mistral AI | NVIDIA |
| Noometry Index | 26.2 | — |
| Released | 2024-10-01 | 2024-02-26 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.10 | — |
| Results tracked | 6 | 8 |
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Category by category
Reasoning Not comparable
Ministral 3B: 18.4 (#282), Nemotron-4 15B: —
| Benchmark | Ministral 3B | Nemotron-4 15B |
|---|---|---|
| Epoch Capabilities Index | 118.1 | 107.72 |
| DTBench | 51.7% | — |
| LMCA | 5.5% | — |
| BIG-Bench Hard | — | 58.7% |
| HellaSwag | — | 82.4% |
| PIQA | — | 82.4% |
| WinoGrande | — | 78% |
Math Not comparable
Ministral 3B: 26.6 (#258), Nemotron-4 15B: —
| Benchmark | Ministral 3B | Nemotron-4 15B |
|---|---|---|
| MATH Level 5 | 14.4% | — |
| GSM8K | — | 46% |
Knowledge Not comparable
Ministral 3B: 10.4 (#302), Nemotron-4 15B: —
| Benchmark | Ministral 3B | Nemotron-4 15B |
|---|---|---|
| GPQA Diamond | 25.3% | — |
| Vectara Hallucination Rate | 7.3% | — |
| ARC (AI2) Challenge | — | 55.5% |
| MMLU | — | 58.7% |
Frequently asked questions
Is Ministral 3B better than Nemotron-4 15B?
Ministral 3B has enough public results to be ranked (#338); Nemotron-4 15B does not yet, so treat this comparison as directional.
How many benchmarks do Ministral 3B and Nemotron-4 15B share?
1 benchmark has published results for both models. Ministral 3B has 6 scored results on Noometry and Nemotron-4 15B has 8.