Model comparison
Devstral Small 2505 vs Qwen Turbo
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 27.1 on the Noometry Index. Qwen Turbo costs 1.7× less per token, which makes it the better buy when Devstral Small 2505's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.10 / $0.30 for Devstral Small 2505.
- Qwen Turbo accepts more context: 1M tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.
Side by side
| Devstral Small 2505 | Qwen Turbo | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.3 | 27.1 |
| Released | 2025-05-07 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.10 | $0.05 |
| Output $ / M tokens | $0.30 | $0.20 |
| Results tracked | 4 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Devstral Small 2505: 38.9 (#166), Qwen Turbo: —
| Benchmark | Devstral Small 2505 | Qwen Turbo |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
Reasoning Not comparable
Devstral Small 2505: 19.7 (#252), Qwen Turbo: —
| Benchmark | Devstral Small 2505 | Qwen Turbo |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
Math Not comparable
Devstral Small 2505: —, Qwen Turbo: 15.3 (#297)
| Benchmark | Devstral Small 2505 | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 6.1% |
| MATH Level 5 | — | 56.2% |
Knowledge Not comparable
Devstral Small 2505: —, Qwen Turbo: 22.2 (#272)
| Benchmark | Devstral Small 2505 | Qwen Turbo |
|---|---|---|
| GPQA Diamond | — | 41.8% |
Frequently asked questions
Is Devstral Small 2505 better than Qwen Turbo?
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 27.1 on the Noometry Index. Qwen Turbo costs 1.7× less per token, which makes it the better buy when Devstral Small 2505's lead doesn't matter for your workload.
Which is cheaper, Devstral Small 2505 or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Devstral Small 2505 lists at $0.10 and $0.30.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 128K.
How many benchmarks do Devstral Small 2505 and Qwen Turbo share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen Turbo has 3.