Model comparison
Laguna M.1 vs o3
o3 is the stronger model overall, scoring 47.5 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in math, where o3 leads 50.2 to 21.1.
- Laguna M.1 accepts more context: 262K tokens versus 200K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Laguna M.1 | o3 | |
|---|---|---|
| Provider | Poolside | OpenAI |
| Noometry Index | 32.5 | 47.5 |
| Released | 2026-04-28 | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 33K | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 3 | 63 |
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Category by category
Coding o3 leads
Laguna M.1: 36.6 (#204), o3: 46.8 (#64)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| LMArena WebDev | 1349 | — |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| LMArena Coding | — | 1408 |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Not comparable
Laguna M.1: —, o3: 34.5 (#44)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Laguna M.1: 23.1 (#184), o3: 32.0 (#78)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| LMArena Hard Prompts | — | 1402 |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Surface Evolver Bench | 15.6% | — |
| Epoch Capabilities Index | — | 146.86 |
| ForecastBench | — | 62.5 |
Math o3 leads
Laguna M.1: 21.1 (#283), o3: 50.2 (#58)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| ProofBench | 0% | — |
| Omni-MATH | — | 71.4% |
| LMArena Math | — | 1426 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
Laguna M.1: —, o3: 54.6 (#52)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1402 |
Multimodal Not comparable
Laguna M.1: —, o3: 41.4 (#36)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual Not comparable
Laguna M.1: —, o3: 51.7 (#105)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| LMArena Non-English | — | 1401 |
| LMArena Chinese | — | 1437 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1370 |
| LMArena Russian | — | 1406 |
| LMArena Spanish | — | 1395 |
Instruction Following Not comparable
Laguna M.1: —, o3: 72.8 (#127)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| IFEval | — | 86.9% |
| LMArena Instruction Following | — | 1368 |
Long Context Not comparable
Laguna M.1: —, o3: 53.3 (#6)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
| LMArena Longer Query | — | 1372 |
Writing & Preference Not comparable
Laguna M.1: —, o3: 63.5 (#64)
| Benchmark | Laguna M.1 | o3 |
|---|---|---|
| LMArena Text | — | 1410 |
| LMArena Creative Writing | — | 1359 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
| LMArena Multi-Turn | — | 1405 |
Frequently asked questions
Is Laguna M.1 better than o3?
o3 is the stronger model overall, scoring 47.5 to 32.5 on the Noometry Index.
Is Laguna M.1 or o3 better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 200K.
How many benchmarks do Laguna M.1 and o3 share?
0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and o3 has 63.