Model comparison
Mistral 7B vs Qwen1.5 4b Chat
Qwen1.5 4b Chat is the stronger model overall, scoring 28.8 to 23.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Mistral 7B scores higher in 4 categories and Qwen1.5 4b Chat in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5 4b Chat leads 30.4 to 8.1.
Side by side
| Mistral 7B | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 28.8 |
| Released | 2023-09-27 | — |
| Weights | Open | Open |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 37 | 13 |
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Category by category
Coding Qwen1.5 4b Chat leads
Mistral 7B: 26.4 (#326), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1082 | 999 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Qwen1.5 4b Chat leads
Mistral 7B: 13.1 (#336), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1067 | 976 |
| Chess Puzzles | 0% | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen1.5 4b Chat leads
Mistral 7B: 8.1 (#325), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1085 | 1026 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen1.5 4b Chat leads
Mistral 7B: 7.4 (#311), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1036 | 980 |
| GPQA Diamond | 15.2% | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Mistral 7B leads
Mistral 7B: 25.8 (#283), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1012 | 979 |
| LMArena Chinese | 1009 | 1024 |
| LMArena German | 987 | 902 |
| LMArena Russian | 1018 | 952 |
| LMArena French | 1037 | — |
| LMArena Japanese | 878 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Mistral 7B leads
Mistral 7B: 54.2 (#280), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1060 | 978 |
Long Context Mistral 7B leads
Mistral 7B: 32.2 (#271), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1060 | 988 |
Writing & Preference Mistral 7B leads
Mistral 7B: 30.7 (#286), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Mistral 7B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1090 | 997 |
| LMArena Creative Writing | 1068 | 969 |
| LMArena Multi-Turn | 1062 | 977 |
Frequently asked questions
Is Mistral 7B better than Qwen1.5 4b Chat?
Qwen1.5 4b Chat is the stronger model overall, scoring 28.8 to 23.0 on the Noometry Index.
Is Mistral 7B or Qwen1.5 4b Chat better for coding?
Qwen1.5 4b Chat scores higher on coding benchmarks: 29.1 versus 26.4 in the Noometry coding category.
How many benchmarks do Mistral 7B and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen1.5 4b Chat has 13.