Model comparison
Mistral Large 3 vs Qwen3 32B
Mistral Large 3 and Qwen3 32B score almost the same on the Noometry Index (39.1 vs 39.2), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Mistral Large 3 scores higher in 3 categories and Qwen3 32B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.0 to 52.9.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 14.5% for Mistral Large 3 and 5.9% for Qwen3 32B.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Large 3 | Qwen3 32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 39.2 |
| Released | 2025-12-02 | 2025-04 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 8K | 16K |
| Input $ / M tokens | $0.25 | $0.70 |
| Output $ / M tokens | $0.75 | $2.80 |
| Results tracked | 24 | 26 |
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Category by category
Coding Qwen3 32B leads
Mistral Large 3: 34.4 (#237), Qwen3 32B: 37.7 (#190)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1448 | 1358 |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1230 | — |
| SciCode | — | 35.4% |
Agentic & Tool Use Not comparable
Mistral Large 3: —, Qwen3 32B: 32.6 (#62)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Qwen3 32B leads
Mistral Large 3: 15.2 (#319), Qwen3 32B: 20.2 (#241)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | 54.9% |
| LMArena Hard Prompts | 1429 | 1334 |
| NYT Connections (extended) | 7.5% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| Thematic Generalization | 23% | — |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Too close to call
Mistral Large 3: 38.7 (#129), Qwen3 32B: 39.7 (#99)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Math | 1414 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
Knowledge Qwen3 32B leads
Mistral Large 3: 36.0 (#177), Qwen3 32B: 40.0 (#125)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | 5.9% |
| LMArena Expert | 1421 | 1362 |
| GPQA Diamond | — | 65.7% |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen3 32B: —
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.5 (#84), Qwen3 32B: 45.6 (#167)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1413 | 1317 |
| LMArena Chinese | 1447 | 1357 |
| LMArena German | 1437 | 1341 |
| LMArena Russian | 1411 | 1311 |
| LMArena French | 1455 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1440 | — |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.0 (#108), Qwen3 32B: 68.9 (#179)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1305 |
Long Context Too close to call
Mistral Large 3: 43.1 (#105), Qwen3 32B: 43.8 (#87)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1413 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), Qwen3 32B: 52.9 (#163)
| Benchmark | Mistral Large 3 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1428 | 1340 |
| LMArena Creative Writing | 1386 | 1297 |
| LMArena Multi-Turn | 1429 | 1331 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3 32B?
Mistral Large 3 and Qwen3 32B score almost the same on the Noometry Index (39.1 vs 39.2), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large 3 or Qwen3 32B?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.
Is Mistral Large 3 or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.7 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 131K.
How many benchmarks do Mistral Large 3 and Qwen3 32B share?
15 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3 32B has 26.