Model comparison
Mistral Large 4 vs Qwen3.5 35B-A3B
Mistral Large 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index. Qwen3.5 35B-A3B costs 1.5× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Mistral Large 4 scores higher in 6 categories and Qwen3.5 35B-A3B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 33.8.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 42.0 |
| Released | 2026-10-06 | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.68 | $0.25 |
| Output $ / M tokens | $2.09 | $2 |
| Results tracked | 15 | 28 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | 1541 | 1254 |
| LMArena Coding | 1475 | 1410 |
| SciCode | — | 29.3% |
Reasoning Qwen3.5 35B-A3B leads
Mistral Large 4: 22.5 (#192), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1400 |
| NYT Connections (extended) | 27.4% | — |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | — | 142.52 |
Math Too close to call
Mistral Large 4: 40.4 (#91), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Math | 1488 | 1404 |
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
Knowledge Qwen3.5 35B-A3B leads
Mistral Large 4: 36.6 (#166), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Expert | 1447 | 1408 |
| GPQA Diamond | — | 83.5% |
| SimpleQA Verified | 20% | — |
| Vectara Hallucination Rate | — | 10.5% |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1415 | 1378 |
| LMArena Chinese | 1491 | 1457 |
| LMArena Russian | 1414 | 1376 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1356 |
| LMArena Spanish | — | 1392 |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1424 | 1379 |
Long Context Mistral Large 4 leads
Mistral Large 4: 43.6 (#89), Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1429 | 1389 |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | Mistral Large 4 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1427 | 1395 |
| LMArena Creative Writing | 1361 | 1346 |
| LMArena Multi-Turn | 1424 | 1390 |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.5 35B-A3B?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index. Qwen3.5 35B-A3B costs 1.5× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 4 or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is Mistral Large 4 or Qwen3.5 35B-A3B better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 33.8 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 35B-A3B share?
13 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.5 35B-A3B has 28.