Model comparison
Laguna M.1 vs Phi-4 Mini
Laguna M.1 is the stronger model overall, scoring 32.5 to 30.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Poolside
MicrosoftSummary
- The widest gap is in coding, where Laguna M.1 leads 36.6 to 28.1.
- Laguna M.1 accepts more context: 262K tokens versus 128K.
Side by side
| Laguna M.1 | Phi-4 Mini | |
|---|---|---|
| Provider | Poolside | Microsoft |
| Noometry Index | 32.5 | 30.9 |
| Released | 2026-04-28 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 33K | 4K |
| Input $ / M tokens | — | $0.075 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 3 | 3 |
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Category by category
Coding Laguna M.1 leads
Laguna M.1: 36.6 (#204), Phi-4 Mini: 28.1 (#317)
| Benchmark | Laguna M.1 | Phi-4 Mini |
|---|---|---|
| LMArena WebDev | 1349 | — |
| SciCode | — | 10.8% |
Reasoning Too close to call
Laguna M.1: 23.1 (#184), Phi-4 Mini: 22.4 (#195)
| Benchmark | Laguna M.1 | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| Surface Evolver Bench | 15.6% | — |
Math Not comparable
Laguna M.1: 21.1 (#283), Phi-4 Mini: —
| Benchmark | Laguna M.1 | Phi-4 Mini |
|---|---|---|
| ProofBench | 0% | — |
Knowledge Not comparable
Laguna M.1: —, Phi-4 Mini: 25.3 (#262)
| Benchmark | Laguna M.1 | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | — | 23.5% |
Frequently asked questions
Is Laguna M.1 better than Phi-4 Mini?
Laguna M.1 is the stronger model overall, scoring 32.5 to 30.9 on the Noometry Index.
Is Laguna M.1 or Phi-4 Mini better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.6 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 128K.
How many benchmarks do Laguna M.1 and Phi-4 Mini share?
0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and Phi-4 Mini has 3.