Model comparison
Codestral vs Qwen1.5-7B
Codestral and Qwen1.5-7B score almost the same on the Noometry Index (30.6 vs 31.4), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen1.5-7B leads 32.2 to 27.3.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| Codestral | Qwen1.5-7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.6 | 31.4 |
| Released | 2024-05-29 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 13 |
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Category by category
Coding Qwen1.5-7B leads
Codestral: 27.3 (#321), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1107 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Too close to call
Codestral: 19.8 (#251), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1065 |
Math Not comparable
Codestral: —, Qwen1.5-7B: 31.4 (#224)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| LMArena Math | — | 1080 |
Knowledge Not comparable
Codestral: —, Qwen1.5-7B: 28.7 (#243)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | — | 1055 |
| MMLU | — | 62.6% |
Multilingual Not comparable
Codestral: —, Qwen1.5-7B: 28.5 (#271)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | — | 1058 |
| LMArena Chinese | — | 1141 |
| LMArena Russian | — | 1006 |
Instruction Following Not comparable
Codestral: —, Qwen1.5-7B: 54.1 (#281)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | — | 1058 |
Long Context Not comparable
Codestral: —, Qwen1.5-7B: 33.1 (#266)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | — | 1090 |
Writing & Preference Not comparable
Codestral: —, Qwen1.5-7B: 29.6 (#293)
| Benchmark | Codestral | Qwen1.5-7B |
|---|---|---|
| LMArena Text | — | 1083 |
| LMArena Creative Writing | — | 1035 |
| LMArena Multi-Turn | — | 1062 |
Frequently asked questions
Is Codestral better than Qwen1.5-7B?
Codestral and Qwen1.5-7B score almost the same on the Noometry Index (30.6 vs 31.4), so choose on price, context window or the category you care about most.
Is Codestral or Qwen1.5-7B better for coding?
Qwen1.5-7B scores higher on coding benchmarks: 32.2 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Qwen1.5-7B share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Qwen1.5-7B has 13.