Model comparison
Mistral Large 3 vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 1.8× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Mistral Large 3 scores higher in 5 categories and Qwen3.5 35B-A3B in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 36.0.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.25 / $2 for Qwen3.5 35B-A3B.
Side by side
| Mistral Large 3 | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 42.0 |
| Released | 2025-12-02 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.25 |
| Output $ / M tokens | $0.75 | $2 |
| Results tracked | 24 | 28 |
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Category by category
Coding Too close to call
Mistral Large 3: 34.4 (#237), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | 1230 | 1254 |
| LMArena Coding | 1448 | 1410 |
| SciCode | — | 29.3% |
Reasoning Qwen3.5 35B-A3B leads
Mistral Large 3: 15.2 (#319), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1400 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| Thematic Generalization | 23% | — |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | — | 142.52 |
Math Qwen3.5 35B-A3B leads
Mistral Large 3: 38.7 (#129), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Math | 1414 | 1404 |
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
Knowledge Qwen3.5 35B-A3B leads
Mistral Large 3: 36.0 (#177), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | 10.5% |
| LMArena Expert | 1421 | 1408 |
| GPQA Diamond | — | 83.5% |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen3.5 35B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.5 (#84), Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1413 | 1378 |
| LMArena Chinese | 1447 | 1457 |
| LMArena French | 1455 | 1412 |
| LMArena German | 1437 | 1367 |
| LMArena Japanese | 1394 | 1325 |
| LMArena Korean | 1384 | 1356 |
| LMArena Russian | 1411 | 1376 |
| LMArena Spanish | 1440 | 1392 |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.0 (#108), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1379 |
Long Context Too close to call
Mistral Large 3: 43.1 (#105), Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1413 | 1389 |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | Mistral Large 3 | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1428 | 1395 |
| LMArena Creative Writing | 1386 | 1346 |
| LMArena Multi-Turn | 1429 | 1390 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 1.8× less per token, which makes it the better buy when Qwen3.5 35B-A3B's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 3 or Qwen3.5 35B-A3B?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3.5 35B-A3B lists at $0.25 and $2.
Is Mistral Large 3 or Qwen3.5 35B-A3B better for coding?
They score almost the same on coding (34.4 vs 33.8); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Mistral Large 3 and Qwen3.5 35B-A3B share?
19 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3.5 35B-A3B has 28.