Model comparison
Mistral vs Qwen3.5 122B-A10B
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3.5 122B-A10B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 37.0.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 42.1 |
| Released | — | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $3.20 |
| Results tracked | 22 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5 122B-A10B leads
Mistral: 33.8 (#250), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1162 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
Reasoning Qwen3.5 122B-A10B leads
Mistral: 22.2 (#200), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1421 |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
Math Qwen3.5 122B-A10B leads
Mistral: 22.3 (#278), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1180 | 1432 |
| Omni-MATH | 7.2% | — |
Knowledge Qwen3.5 122B-A10B leads
Mistral: 16.6 (#288), Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1125 | 1432 |
| MMLU-Pro | 27.7% | — |
| Vectara Hallucination Rate | — | 11.2% |
| GPQA (HELM) | 30.3% | — |
Multimodal Not comparable
Mistral: —, Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Qwen3.5 122B-A10B leads
Mistral: 32.8 (#254), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1129 | 1400 |
| LMArena Chinese | 1109 | 1462 |
| LMArena French | 1180 | 1442 |
| LMArena German | 1155 | 1426 |
| LMArena Japanese | 1013 | 1367 |
| LMArena Korean | 1032 | 1352 |
| LMArena Russian | 1168 | 1400 |
| LMArena Spanish | 1143 | 1424 |
Instruction Following Qwen3.5 122B-A10B leads
Mistral: 52.6 (#288), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1399 |
| IFEval | 56.8% | — |
Long Context Qwen3.5 122B-A10B leads
Mistral: 35.0 (#245), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1153 | 1410 |
Writing & Preference Qwen3.5 122B-A10B leads
Mistral: 37.0 (#260), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Mistral | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1165 | 1417 |
| LMArena Creative Writing | 1158 | 1368 |
| LMArena Multi-Turn | 1147 | 1416 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 29.9 on the Noometry Index.
Is Mistral or Qwen3.5 122B-A10B better for coding?
Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Qwen3.5 122B-A10B share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.5 122B-A10B has 27.