Model comparison
Laguna M.1 vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 32.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
PoolsideSummary
- They share 1 benchmark with published results for both. Laguna M.1 scores higher in 1 category and MiMo-V2-Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2-Pro leads 39.5 to 21.1.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Laguna M.1 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Poolside | Xiaomi |
| Noometry Index | 32.5 | 43.0 |
| Released | 2026-04-28 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 33K | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 3 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Laguna M.1: 36.6 (#204), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1349 | 1433 |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |
Reasoning Too close to call
Laguna M.1: 23.1 (#184), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
| Surface Evolver Bench | 15.6% | — |
Math MiMo-V2-Pro leads
Laguna M.1: 21.1 (#283), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| ProofBench | 0% | — |
| LMArena Math | — | 1447 |
Knowledge Not comparable
Laguna M.1: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Laguna M.1: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
Laguna M.1: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
Laguna M.1: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
Laguna M.1: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Laguna M.1 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Laguna M.1 better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 32.5 on the Noometry Index.
Is Laguna M.1 or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 262K.
How many benchmarks do Laguna M.1 and MiMo-V2-Pro share?
1 benchmark has published results for both models. Laguna M.1 has 3 scored results on Noometry and MiMo-V2-Pro has 23.