Model comparison
Mistral Large 3 vs Qwen1.5-7B
Mistral Large 3 is the stronger model overall, scoring 39.1 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Mistral Large 3 scores higher in 7 categories and Qwen1.5-7B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.0 to 29.6.
Side by side
| Mistral Large 3 | Qwen1.5-7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 31.4 |
| Released | 2025-12-02 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.75 | — |
| Results tracked | 24 | 13 |
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Category by category
Coding Mistral Large 3 leads
Mistral Large 3: 34.4 (#237), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1448 | 1107 |
| LMArena WebDev | 1230 | — |
Reasoning Qwen1.5-7B leads
Mistral Large 3: 15.2 (#319), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1065 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Thematic Generalization | 23% | — |
Math Mistral Large 3 leads
Mistral Large 3: 38.7 (#129), Qwen1.5-7B: 31.4 (#224)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1414 | 1080 |
Knowledge Mistral Large 3 leads
Mistral Large 3: 36.0 (#177), Qwen1.5-7B: 28.7 (#243)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1421 | 1055 |
| Vectara Hallucination Rate | 14.5% | — |
| MMLU | — | 62.6% |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen1.5-7B: —
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.5 (#84), Qwen1.5-7B: 28.5 (#271)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1413 | 1058 |
| LMArena Chinese | 1447 | 1141 |
| LMArena Russian | 1411 | 1006 |
| LMArena French | 1455 | — |
| LMArena German | 1437 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1440 | — |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.0 (#108), Qwen1.5-7B: 54.1 (#281)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1058 |
Long Context Mistral Large 3 leads
Mistral Large 3: 43.1 (#105), Qwen1.5-7B: 33.1 (#266)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1413 | 1090 |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), Qwen1.5-7B: 29.6 (#293)
| Benchmark | Mistral Large 3 | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1428 | 1083 |
| LMArena Creative Writing | 1386 | 1035 |
| LMArena Multi-Turn | 1429 | 1062 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen1.5-7B?
Mistral Large 3 is the stronger model overall, scoring 39.1 to 31.4 on the Noometry Index.
Is Mistral Large 3 or Qwen1.5-7B better for coding?
Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 32.2 in the Noometry coding category.
How many benchmarks do Mistral Large 3 and Qwen1.5-7B share?
12 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen1.5-7B has 13.