Model comparison
Devstral Small 2505 vs Laguna M.1
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Laguna M.1 leads 23.1 to 19.7.
- Laguna M.1 accepts more context: 262K tokens versus 128K.
Side by side
| Devstral Small 2505 | Laguna M.1 | |
|---|---|---|
| Provider | Mistral AI | Poolside |
| Noometry Index | 34.3 | 32.5 |
| Released | 2025-05-07 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 33K |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 4 | 3 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.9 (#166), Laguna M.1: 36.6 (#204)
| Benchmark | Devstral Small 2505 | Laguna M.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| LMArena WebDev | — | 1349 |
| SciCode | 28.8% | — |
Reasoning Laguna M.1 leads
Devstral Small 2505: 19.7 (#252), Laguna M.1: 23.1 (#184)
| Benchmark | Devstral Small 2505 | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
Devstral Small 2505: —, Laguna M.1: 21.1 (#283)
| Benchmark | Devstral Small 2505 | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
Frequently asked questions
Is Devstral Small 2505 better than Laguna M.1?
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 32.5 on the Noometry Index.
Is Devstral Small 2505 or Laguna M.1 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?
Laguna M.1 does, with 262K tokens against 128K.
How many benchmarks do Devstral Small 2505 and Laguna M.1 share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Laguna M.1 has 3.