Model comparison
Codestral vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in coding, where Qwen3.5-9B leads 35.9 to 27.3.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.30 / $0.90 for Codestral.
- Qwen3.5-9B accepts more context: 262K tokens versus 256K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Codestral | Qwen3.5-9B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.6 | 33.8 |
| Released | 2024-05-29 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 256K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.30 | $0.10 |
| Output $ / M tokens | $0.90 | $0.15 |
| Results tracked | 7 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Codestral: 27.3 (#321), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Codestral | Qwen3.5-9B |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Codestral | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Codestral: 19.8 (#251), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Codestral | Qwen3.5-9B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Not comparable
Codestral: —, Qwen3.5-9B: 34.8 (#192)
| Benchmark | Codestral | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
Knowledge Not comparable
Codestral: —, Qwen3.5-9B: 46.0 (#84)
| Benchmark | Codestral | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
Frequently asked questions
Is Codestral better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 30.6 on the Noometry Index.
Which is cheaper, Codestral or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Codestral lists at $0.30 and $0.90.
Is Codestral or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 256K.
How many benchmarks do Codestral and Qwen3.5-9B share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Qwen3.5-9B has 10.