Model comparison
Mistral Large 4 vs Qwen3.5 122B-A10B
Mistral Large 4 and Qwen3.5 122B-A10B score almost the same on the Noometry Index (43.1 vs 42.1), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Mistral Large 4 scores higher in 6 categories and Qwen3.5 122B-A10B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 39.1.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 51.7% for Qwen3.5 122B-A10B.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $0.40 / $3.20 for Qwen3.5 122B-A10B.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 42.1 |
| Released | 2026-10-06 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.68 | $0.40 |
| Output $ / M tokens | $2.09 | $3.20 |
| Results tracked | 15 | 27 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen3.5 122B-A10B: 39.1 (#162)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | 1541 | 1360 |
| LMArena Coding | 1475 | 1436 |
| SciCode | — | 35.6% |
Reasoning Qwen3.5 122B-A10B leads
Mistral Large 4: 22.5 (#192), Qwen3.5 122B-A10B: 27.2 (#123)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | 27.4% | 51.7% |
| LMArena Hard Prompts | 1444 | 1421 |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Qwen3.5 122B-A10B: 39.1 (#112)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1488 | 1432 |
Knowledge Qwen3.5 122B-A10B leads
Mistral Large 4: 36.6 (#166), Qwen3.5 122B-A10B: 38.8 (#142)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1447 | 1432 |
| SimpleQA Verified | 20% | — |
| Vectara Hallucination Rate | — | 11.2% |
Multimodal Not comparable
Mistral Large 4: —, Qwen3.5 122B-A10B: 39.6 (#57)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), Qwen3.5 122B-A10B: 51.6 (#107)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1415 | 1400 |
| LMArena Chinese | 1491 | 1462 |
| LMArena Russian | 1414 | 1400 |
| LMArena French | — | 1442 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1367 |
| LMArena Korean | — | 1352 |
| LMArena Spanish | — | 1424 |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Qwen3.5 122B-A10B: 73.8 (#115)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1424 | 1399 |
Long Context Too close to call
Mistral Large 4: 43.6 (#89), Qwen3.5 122B-A10B: 43.0 (#109)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1429 | 1410 |
Writing & Preference Too close to call
Mistral Large 4: 60.4 (#97), Qwen3.5 122B-A10B: 60.0 (#105)
| Benchmark | Mistral Large 4 | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1427 | 1417 |
| LMArena Creative Writing | 1361 | 1368 |
| LMArena Multi-Turn | 1424 | 1416 |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.5 122B-A10B?
Mistral Large 4 and Qwen3.5 122B-A10B score almost the same on the Noometry Index (43.1 vs 42.1), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large 4 or Qwen3.5 122B-A10B?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Qwen3.5 122B-A10B lists at $0.40 and $3.20.
Is Mistral Large 4 or Qwen3.5 122B-A10B better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 262K.
How many benchmarks do Mistral Large 4 and Qwen3.5 122B-A10B share?
14 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.5 122B-A10B has 27.