Model comparison
GPT-4.1 mini vs Laguna M.1
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in reasoning, where Laguna M.1 leads 21.9 to 10.9.
- GPT-4.1 mini 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 mini | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 33.5 | 31.9 |
| Released | 2025-04-14 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 33K |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $1.60 | — |
| Results tracked | 47 | 3 |
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Category by category
Coding Laguna M.1 leads
GPT-4.1 mini: 30.4 (#286), Laguna M.1: 36.4 (#195)
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| LMArena WebDev | — | 1348 |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.0 (#52), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Laguna M.1 leads
GPT-4.1 mini: 10.9 (#335), Laguna M.1: 21.9 (#187)
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 135.01 | — |
Math GPT-4.1 mini leads
GPT-4.1 mini: 23.1 (#264), Laguna M.1: 20.3 (#276)
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| ProofBench | — | 0% |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Not comparable
GPT-4.1 mini: 34.7 (#183), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
Multimodal Not comparable
GPT-4.1 mini: 35.2 (#77), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Not comparable
GPT-4.1 mini: 45.9 (#161), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1357 | — |
| LMArena German | 1349 | — |
| LMArena Japanese | 1291 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |
Instruction Following Not comparable
GPT-4.1 mini: 73.9 (#113), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1332 | — |
Long Context Not comparable
GPT-4.1 mini: 31.8 (#270), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference Not comparable
GPT-4.1 mini: 48.8 (#193), Laguna M.1: —
| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| LMArena Text | 1341 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |
Frequently asked questions
Is GPT-4.1 mini better than Laguna M.1?
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 31.9 on the Noometry Index.
Is GPT-4.1 mini or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.4 versus 30.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 mini and Laguna M.1 share?
0 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Laguna M.1 has 3.