Model comparison
GPT-4.5 vs Laguna M.1
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in math, where GPT-4.5 leads 32.6 to 21.1.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 37.2 | 32.5 |
| Released | 2025-02-27 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 3 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Laguna M.1: 36.6 (#204)
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1349 |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| LMArena Coding | 1396 | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Laguna M.1 leads
GPT-4.5: 13.9 (#330), Laguna M.1: 23.1 (#184)
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LMArena Hard Prompts | 1403 | — |
| LiveBench Data Analysis | 64.3% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), Laguna M.1: 21.1 (#283)
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| ProofBench | — | 0% |
| LiveBench Math | 69.3% | — |
| LMArena Math | 1412 | — |
| MATH Level 5 | 78.6% | — |
Knowledge Not comparable
GPT-4.5: 32.5 (#211), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| LMArena Expert | 1394 | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Not comparable
GPT-4.5: 52.5 (#83), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1421 | — |
| LMArena French | 1418 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
| LMArena Russian | 1419 | — |
Instruction Following Not comparable
GPT-4.5: 72.6 (#134), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| LiveBench Instruction Following | 72.3% | — |
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GPT-4.5: 40.4 (#155), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
GPT-4.5: 56.9 (#134), Laguna M.1: —
| Benchmark | GPT-4.5 | Laguna M.1 |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1394 | — |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LMArena Multi-Turn | 1444 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Laguna M.1?
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.5 on the Noometry Index.
Is GPT-4.5 or Laguna M.1 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 36.6 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Laguna M.1 share?
0 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Laguna M.1 has 3.