Model comparison
Laguna M.1 vs Phi-2
Laguna M.1 has enough public results to be ranked (#256); Phi-2 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Poolside
MicrosoftSide by side
| Laguna M.1 | Phi-2 | |
|---|---|---|
| Provider | Poolside | Microsoft |
| Noometry Index | 32.5 | — |
| Released | 2026-04-28 | 2023-12-12 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 3 | 11 |
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Category by category
Coding Not comparable
Laguna M.1: 36.6 (#204), Phi-2: —
| Benchmark | Laguna M.1 | Phi-2 |
|---|---|---|
| LMArena WebDev | 1349 | — |
| HumanEval+ | — | 45.1% |
| MBPP+ | — | 54.2% |
Reasoning Not comparable
Laguna M.1: 23.1 (#184), Phi-2: —
| Benchmark | Laguna M.1 | Phi-2 |
|---|---|---|
| Surface Evolver Bench | 15.6% | — |
| Adversarial NLI | — | 42.5% |
| BIG-Bench Hard | — | 59.4% |
| Epoch Capabilities Index | — | 107.94 |
| HellaSwag | — | 53.6% |
| WinoGrande | — | 54.7% |
Math Not comparable
Laguna M.1: 21.1 (#283), Phi-2: —
| Benchmark | Laguna M.1 | Phi-2 |
|---|---|---|
| ProofBench | 0% | — |
Knowledge Not comparable
Laguna M.1: —, Phi-2: —
| Benchmark | Laguna M.1 | Phi-2 |
|---|---|---|
| ARC (AI2) Challenge | — | 75.9% |
| MMLU | — | 58.4% |
| OpenBookQA | — | 73.6% |
| TriviaQA | — | 45.2% |
Frequently asked questions
Is Laguna M.1 better than Phi-2?
Laguna M.1 has enough public results to be ranked (#256); Phi-2 does not yet, so treat this comparison as directional.
How many benchmarks do Laguna M.1 and Phi-2 share?
0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and Phi-2 has 11.