Model comparison
Devstral Small 2505 vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 34.3 on the Noometry Index. Devstral Small 2505 costs 4.7× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 1 category and Qwen3.7 Plus in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Plus leads 39.3 to 19.7.
- The biggest single-benchmark swing is SciCode: 28.8% for Devstral Small 2505 and 45.5% for Qwen3.7 Plus.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Qwen3.7 Plus 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 | Qwen3.7 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.3 | 45.3 |
| Released | 2025-05-07 | 2026-06-02 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.10 | $0.40 |
| Output $ / M tokens | $0.30 | $1.60 |
| Results tracked | 4 | 32 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.9 (#166), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| SciCode | 28.8% | 45.5% |
| FrontierCode | — | 10.2% |
| SWE-bench Verified (bash only) | 56.4% | — |
| LMArena Coding | — | 1473 |
Agentic & Tool Use Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
Devstral Small 2505: 19.7 (#252), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| CritPt | 0% | 9.1% |
| Kagi LLM Benchmark | 37.7% | — |
| NYT Connections (extended) | — | 74.8% |
| Chess Puzzles | — | 24% |
| LMArena Hard Prompts | — | 1460 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 147.37 |
Math Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LMArena Math | — | 1466 |
Knowledge Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| LMArena Expert | — | 1467 |
Multimodal Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | — | 1445 |
| LMArena Chinese | — | 1510 |
| LMArena French | — | 1473 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1413 |
| LMArena Korean | — | 1415 |
| LMArena Russian | — | 1457 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1440 |
Long Context Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
Devstral Small 2505: —, Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Devstral Small 2505 | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | — | 1455 |
| LMArena Creative Writing | — | 1439 |
| LMArena Multi-Turn | — | 1460 |
Frequently asked questions
Is Devstral Small 2505 better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 34.3 on the Noometry Index. Devstral Small 2505 costs 4.7× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Which is cheaper, Devstral Small 2505 or Qwen3.7 Plus?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.
Is Devstral Small 2505 or Qwen3.7 Plus better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 128K.
How many benchmarks do Devstral Small 2505 and Qwen3.7 Plus share?
2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen3.7 Plus has 32.