Model comparison
Laguna M.1 vs Ministral 3B
Laguna M.1 is the stronger model overall, scoring 32.5 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Ministral 3B leads 26.6 to 21.1.
- Laguna M.1 accepts more context: 262K tokens versus 131K.
Side by side
| Laguna M.1 | Ministral 3B | |
|---|---|---|
| Provider | Poolside | Mistral AI |
| Noometry Index | 32.5 | 26.2 |
| Released | 2026-04-28 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 33K | 262K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.10 |
| Results tracked | 3 | 6 |
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Category by category
Coding Not comparable
Laguna M.1: 36.6 (#204), Ministral 3B: —
| Benchmark | Laguna M.1 | Ministral 3B |
|---|---|---|
| LMArena WebDev | 1349 | — |
Reasoning Laguna M.1 leads
Laguna M.1: 23.1 (#184), Ministral 3B: 18.4 (#282)
| Benchmark | Laguna M.1 | Ministral 3B |
|---|---|---|
| DTBench | — | 51.7% |
| LMCA | — | 5.5% |
| Surface Evolver Bench | 15.6% | — |
| Epoch Capabilities Index | — | 118.1 |
Math Ministral 3B leads
Laguna M.1: 21.1 (#283), Ministral 3B: 26.6 (#258)
| Benchmark | Laguna M.1 | Ministral 3B |
|---|---|---|
| ProofBench | 0% | — |
| MATH Level 5 | — | 14.4% |
Knowledge Not comparable
Laguna M.1: —, Ministral 3B: 10.4 (#302)
| Benchmark | Laguna M.1 | Ministral 3B |
|---|---|---|
| GPQA Diamond | — | 25.3% |
| Vectara Hallucination Rate | — | 7.3% |
Frequently asked questions
Is Laguna M.1 better than Ministral 3B?
Laguna M.1 is the stronger model overall, scoring 32.5 to 26.2 on the Noometry Index.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 131K.
How many benchmarks do Laguna M.1 and Ministral 3B share?
0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and Ministral 3B has 6.