Model comparison
Laguna M.1 vs Llama 3.2 90B
Laguna M.1 is the stronger model overall, scoring 31.9 to 27.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Laguna M.1 leads 20.3 to 10.4.
Side by side
| Laguna M.1 | Llama 3.2 90B | |
|---|---|---|
| Provider | Poolside | Meta |
| Noometry Index | 31.9 | 27.1 |
| Released | 2026-04-28 | 2024-09-24 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 3 | 9 |
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Category by category
Coding Not comparable
Laguna M.1: 36.4 (#195), Llama 3.2 90B: —
| Benchmark | Laguna M.1 | Llama 3.2 90B |
|---|---|---|
| LMArena WebDev | 1348 | — |
Agentic & Tool Use Not comparable
Laguna M.1: —, Llama 3.2 90B: 29.7 (#73)
| Benchmark | Laguna M.1 | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning Laguna M.1 leads
Laguna M.1: 21.9 (#187), Llama 3.2 90B: 20.9 (#207)
| Benchmark | Laguna M.1 | Llama 3.2 90B |
|---|---|---|
| EnigmaEval | — | 0.4% |
| Surface Evolver Bench | 15.6% | — |
| Epoch Capabilities Index | — | 125.5 |
Math Laguna M.1 leads
Laguna M.1: 20.3 (#276), Llama 3.2 90B: 10.4 (#302)
| Benchmark | Laguna M.1 | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| ProofBench | 0% | — |
| MATH Level 5 | — | 39.4% |
Knowledge Not comparable
Laguna M.1: —, Llama 3.2 90B: 21.7 (#269)
| Benchmark | Laguna M.1 | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | — | 41% |
| MMLU | — | 80.3% |
Multimodal Not comparable
Laguna M.1: —, Llama 3.2 90B: 24.9 (#119)
| Benchmark | Laguna M.1 | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
Frequently asked questions
Is Laguna M.1 better than Llama 3.2 90B?
Laguna M.1 is the stronger model overall, scoring 31.9 to 27.1 on the Noometry Index.
How many benchmarks do Laguna M.1 and Llama 3.2 90B share?
0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and Llama 3.2 90B has 9.