Model comparison
Mistral Medium 3.5 vs Qwen1.5-32B
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.5 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 7 categories and Qwen1.5-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Medium 3.5 leads 40.0 to 13.5.
Side by side
| Mistral Medium 3.5 | Qwen1.5-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 40.2 | 30.5 |
| Released | — | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 210K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 22 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Medium 3.5 leads
Mistral Medium 3.5: 36.0 (#213), Qwen1.5-32B: 31.7 (#282)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1461 | 1155 |
| LMArena WebDev | 1264 | — |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
Reasoning Qwen1.5-32B leads
Mistral Medium 3.5: 17.3 (#295), Qwen1.5-32B: 21.8 (#212)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1436 | 1130 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| Epoch Capabilities Index | 141.35 | — |
Math Mistral Medium 3.5 leads
Mistral Medium 3.5: 39.1 (#113), Qwen1.5-32B: 33.0 (#207)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1431 | 1155 |
Knowledge Mistral Medium 3.5 leads
Mistral Medium 3.5: 40.0 (#126), Qwen1.5-32B: 13.5 (#296)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Expert | 1432 | 1126 |
| GPQA Diamond | — | 30.7% |
| MMLU | — | 74.4% |
Multimodal Not comparable
Mistral Medium 3.5: 38.3 (#65), Qwen1.5-32B: —
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Vision | 1223 | — |
Multilingual Mistral Medium 3.5 leads
Mistral Medium 3.5: 51.9 (#100), Qwen1.5-32B: 31.4 (#259)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1404 | 1106 |
| LMArena Chinese | 1442 | 1177 |
| LMArena French | 1448 | 1101 |
| LMArena German | 1451 | 1058 |
| LMArena Korean | 1385 | 1008 |
| LMArena Russian | 1395 | 1073 |
| LMArena Spanish | 1409 | 1089 |
| LMArena Japanese | — | 1027 |
Instruction Following Mistral Medium 3.5 leads
Mistral Medium 3.5: 74.6 (#90), Qwen1.5-32B: 57.7 (#265)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1415 | 1116 |
Long Context Mistral Medium 3.5 leads
Mistral Medium 3.5: 43.2 (#103), Qwen1.5-32B: 34.7 (#246)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1415 | 1146 |
Writing & Preference Mistral Medium 3.5 leads
Mistral Medium 3.5: 58.5 (#117), Qwen1.5-32B: 34.2 (#271)
| Benchmark | Mistral Medium 3.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1421 | 1137 |
| LMArena Creative Writing | 1374 | 1083 |
| LMArena Multi-Turn | 1423 | 1140 |
| EQ-Bench 4 | 993 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than Qwen1.5-32B?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.5 on the Noometry Index.
Is Mistral Medium 3.5 or Qwen1.5-32B better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 31.7 in the Noometry coding category.
How many benchmarks do Mistral Medium 3.5 and Qwen1.5-32B share?
16 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen1.5-32B has 21.