Model comparison
Mistral Large 3 vs Qwen1.5 4b Chat
Mistral Large 3 is the stronger model overall, scoring 39.1 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Mistral Large 3 scores higher in 7 categories and Qwen1.5 4b Chat 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 23.8.
Side by side
| Mistral Large 3 | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 28.8 |
| Released | 2025-12-02 | — |
| 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 4b Chat: 29.1 (#308)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1448 | 999 |
| LMArena WebDev | 1230 | — |
Reasoning Qwen1.5 4b Chat leads
Mistral Large 3: 15.2 (#319), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1429 | 976 |
| 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 4b Chat: 30.4 (#234)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1414 | 1026 |
Knowledge Mistral Large 3 leads
Mistral Large 3: 36.0 (#177), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1421 | 980 |
| Vectara Hallucination Rate | 14.5% | — |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen1.5 4b Chat: —
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.5 (#84), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1413 | 979 |
| LMArena Chinese | 1447 | 1024 |
| LMArena German | 1437 | 902 |
| LMArena Russian | 1411 | 952 |
| LMArena French | 1455 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1440 | — |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.0 (#108), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1403 | 978 |
Long Context Mistral Large 3 leads
Mistral Large 3: 43.1 (#105), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1413 | 988 |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Mistral Large 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1428 | 997 |
| LMArena Creative Writing | 1386 | 969 |
| LMArena Multi-Turn | 1429 | 977 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen1.5 4b Chat?
Mistral Large 3 is the stronger model overall, scoring 39.1 to 28.8 on the Noometry Index.
Is Mistral Large 3 or Qwen1.5 4b Chat better for coding?
Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 29.1 in the Noometry coding category.
How many benchmarks do Mistral Large 3 and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen1.5 4b Chat has 13.