Model comparison
Ministral 3B vs Qwen2.5-Coder (1.5B)
Ministral 3B has enough public results to be ranked (#336); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
Side by side
| Ministral 3B | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 25.6 | — |
| Released | 2024-10-01 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.04 | — |
| Results tracked | 6 | 6 |
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Category by category
Reasoning Not comparable
Ministral 3B: 17.7 (#278), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 3B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 118.08 | 112.93 |
| DTBench | 51.7% | — |
| LMCA | 5.5% | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Ministral 3B: 24.5 (#257), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 3B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| MATH Level 5 | 14.4% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Ministral 3B: 10.4 (#297), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 3B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 25.3% | — |
| Vectara Hallucination Rate | 7.3% | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Frequently asked questions
Is Ministral 3B better than Qwen2.5-Coder (1.5B)?
Ministral 3B has enough public results to be ranked (#336); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Ministral 3B and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. Ministral 3B has 6 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.