Model comparison
Mistral Large 3 vs Qwen3-30B-A3B
Mistral Large 3 and Qwen3-30B-A3B score almost the same on the Noometry Index (38.6 vs 38.5), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Mistral Large 3 scores higher in 5 categories and Qwen3-30B-A3B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Mistral Large 3 leads 43.1 to 31.0.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Mistral Large 3 accepts more context: 262K tokens versus 41K.
Side by side
| Mistral Large 3 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 38.5 |
| Released | 2025-12-02 | 2025-04-28 |
| Weights | Open | Open |
| Context window | 262K | 41K |
| Max output | 8K | 16K |
| Input $ / M tokens | $0.25 | $0.12 |
| Output $ / M tokens | $0.75 | $0.50 |
| Results tracked | 24 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Mistral Large 3: 34.1 (#230), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1447 | 1416 |
| LMArena WebDev | 1230 | — |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
Agentic & Tool Use Not comparable
Mistral Large 3: —, Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
Mistral Large 3: 14.6 (#314), Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | 54.9% |
| LMArena Hard Prompts | 1429 | 1398 |
| NYT Connections (extended) | 7.5% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| Thematic Generalization | 23% | — |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Too close to call
Mistral Large 3: 36.0 (#131), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1415 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
Knowledge Qwen3-30B-A3B leads
Mistral Large 3: 35.5 (#173), Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1421 | 1395 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| Vectara Hallucination Rate | 14.5% | — |
Multimodal Not comparable
Mistral Large 3: 37.6 (#65), Qwen3-30B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.6 (#79), Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1412 | 1372 |
| LMArena Chinese | 1448 | 1434 |
| LMArena French | 1456 | 1419 |
| LMArena German | 1438 | 1379 |
| LMArena Japanese | 1399 | 1338 |
| LMArena Korean | 1384 | 1333 |
| LMArena Russian | 1412 | 1369 |
| LMArena Spanish | 1437 | 1403 |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.1 (#104), Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1402 | 1364 |
Long Context Mistral Large 3 leads
Mistral Large 3: 43.1 (#102), Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1413 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.2 (#100), Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | Mistral Large 3 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1427 | 1384 |
| LMArena Creative Writing | 1385 | 1318 |
| LMArena Multi-Turn | 1429 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3-30B-A3B?
Mistral Large 3 and Qwen3-30B-A3B score almost the same on the Noometry Index (38.6 vs 38.5), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large 3 or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.
Is Mistral Large 3 or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 41K.
How many benchmarks do Mistral Large 3 and Qwen3-30B-A3B share?
18 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3-30B-A3B has 32.