Model comparison
GPT-4.1 vs Laguna M.1
GPT-4.1 is the stronger model overall, scoring 35.9 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in reasoning, where Laguna M.1 leads 23.1 to 11.7.
- GPT-4.1 accepts more context: 1.05M tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 35.9 | 32.5 |
| Released | 2025-04-14 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 33K |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 52 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Laguna M.1 leads
GPT-4.1: 34.4 (#238), Laguna M.1: 36.6 (#204)
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| LMArena WebDev | — | 1349 |
| WeirdML | 39% | — |
| LMArena Coding | 1391 | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use Not comparable
GPT-4.1: 34.7 (#43), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
Reasoning Laguna M.1 leads
GPT-4.1: 11.7 (#339), Laguna M.1: 23.1 (#184)
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| LMArena Hard Prompts | 1384 | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 136.78 | — |
| ForecastBench | 61.5 | — |
Math GPT-4.1 leads
GPT-4.1: 22.3 (#280), Laguna M.1: 21.1 (#283)
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| ProofBench | — | 0% |
| Omni-MATH | 47.1% | — |
| LMArena Math | 1370 | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Not comparable
GPT-4.1: 37.1 (#160), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
| LMArena Expert | 1364 | — |
Multimodal Not comparable
GPT-4.1: 38.2 (#67), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |
Multilingual Not comparable
GPT-4.1: 49.4 (#133), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1370 | — |
| LMArena Chinese | 1382 | — |
| LMArena French | 1382 | — |
| LMArena German | 1381 | — |
| LMArena Japanese | 1319 | — |
| LMArena Korean | 1339 | — |
| LMArena Russian | 1377 | — |
| LMArena Spanish | 1376 | — |
Instruction Following Not comparable
GPT-4.1: 71.3 (#153), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| IFEval | 83.8% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
GPT-4.1: 40.0 (#163), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1385 | — |
Writing & Preference Not comparable
GPT-4.1: 57.6 (#125), Laguna M.1: —
| Benchmark | GPT-4.1 | Laguna M.1 |
|---|---|---|
| LMArena Text | 1383 | — |
| LMArena Creative Writing | 1363 | — |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
| LMArena Multi-Turn | 1398 | — |
Frequently asked questions
Is GPT-4.1 better than Laguna M.1?
GPT-4.1 is the stronger model overall, scoring 35.9 to 32.5 on the Noometry Index.
Is GPT-4.1 or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.6 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 and Laguna M.1 share?
0 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Laguna M.1 has 3.