Model comparison
Mistral Small 3.2 vs Qwen1.5-110B
Qwen1.5-110B is the stronger model overall, scoring 33.6 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Mistral Small 3.2 leads 45.1 to 38.1.
Side by side
| Mistral Small 3.2 | Qwen1.5-110B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 33.6 |
| Released | 2025-06-20 | 2024-04-25 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.0938 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 6 | 20 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen1.5-110B: 32.4 (#260)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| BigCodeBench Instruct | — | 35% |
| LMArena Coding | — | 1184 |
| BigCodeBench Complete | — | 44.4% |
Reasoning Qwen1.5-110B leads
Mistral Small 3.2: 17.5 (#282), Qwen1.5-110B: 21.7 (#192)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | — |
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | — | 1168 |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | — | 57.7 |
Math Qwen1.5-110B leads
Mistral Small 3.2: 24.9 (#251), Qwen1.5-110B: 31.1 (#199)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
| LMArena Math | — | 1185 |
Knowledge Qwen1.5-110B leads
Mistral Small 3.2: 26.8 (#249), Qwen1.5-110B: 30.7 (#217)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
Mistral Small 3.2: —, Qwen1.5-110B: 33.8 (#245)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1206 |
| LMArena French | — | 1150 |
| LMArena German | — | 1123 |
| LMArena Japanese | — | 1074 |
| LMArena Korean | — | 1044 |
| LMArena Russian | — | 1118 |
| LMArena Spanish | — | 1141 |
Instruction Following Not comparable
Mistral Small 3.2: —, Qwen1.5-110B: 60.6 (#247)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | — | 1158 |
Long Context Not comparable
Mistral Small 3.2: —, Qwen1.5-110B: 35.0 (#237)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | — | 1157 |
Writing & Preference Mistral Small 3.2 leads
Mistral Small 3.2: 45.1 (#219), Qwen1.5-110B: 38.1 (#250)
| Benchmark | Mistral Small 3.2 | Qwen1.5-110B |
|---|---|---|
| LMArena Text | — | 1175 |
| LMArena Creative Writing | — | 1148 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1160 |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen1.5-110B?
Qwen1.5-110B is the stronger model overall, scoring 33.6 to 30.8 on the Noometry Index.
How many benchmarks do Mistral Small 3.2 and Qwen1.5-110B share?
0 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen1.5-110B has 20.