Model comparison
Ministral 8B vs Qwen2.5-Coder (1.5B)
Ministral 8B has enough public results to be ranked (#321); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Side by side
| Ministral 8B | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.8 | — |
| Released | 2024-10-01 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.10 | — |
| Results tracked | 17 | 6 |
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Category by category
Coding Not comparable
Ministral 8B: 34.4 (#226), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Coding | 1202 | — |
Agentic & Tool Use Not comparable
Ministral 8B: 16.2 (#140), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 11.1% | — |
Reasoning Not comparable
Ministral 8B: 17.7 (#279), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Hard Prompts | 1191 | — |
| DTBench | 45.7% | — |
| Epoch Capabilities Index | — | 112.93 |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Ministral 8B: 23.7 (#262), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Math | 1188 | — |
| MATH Level 5 | 14.9% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Ministral 8B: 12.5 (#292), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 27.1% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1170 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Ministral 8B: 35.3 (#242), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1165 | — |
| LMArena Chinese | 1193 | — |
| LMArena Russian | 1195 | — |
Instruction Following Not comparable
Ministral 8B: 60.7 (#245), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1161 | — |
Long Context Not comparable
Ministral 8B: 36.7 (#222), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1212 | — |
Writing & Preference Not comparable
Ministral 8B: 39.8 (#241), Qwen2.5-Coder (1.5B): —
| Benchmark | Ministral 8B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1175 | — |
| LMArena Multi-Turn | 1166 | — |
Frequently asked questions
Is Ministral 8B better than Qwen2.5-Coder (1.5B)?
Ministral 8B has enough public results to be ranked (#321); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Ministral 8B and Qwen2.5-Coder (1.5B) share?
0 benchmarks have published results for both models. Ministral 8B has 17 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.