# GPT-4.1 mini vs Laguna M.1

> GPT-4.1 mini is the stronger model overall, scoring 33.6 to 32.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-laguna-m-1
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Laguna M.1 leads 23.1 to 10.8.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 33.6 | 32.5 |
| Rank | 240 | 256 |
| Context | 1.05M | 262K |
| Input $/M | $0.40 | — |
| Output $/M | $1.60 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.6 (#293)
- Laguna M.1: 36.6 (#204)

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| LMArena WebDev | — | 1349 |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |

## Agentic & Tool Use

- GPT-4.1 mini: 33.3 (#55)
- Laguna M.1: —

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.8 (#340)
- Laguna M.1: 23.1 (#184)

| 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: 24.1 (#270)
- Laguna M.1: 21.1 (#283)

| 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

- GPT-4.1 mini: 34.7 (#194)
- 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

- GPT-4.1 mini: 35.8 (#82)
- Laguna M.1: —

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- GPT-4.1 mini: 45.7 (#166)
- Laguna M.1: —

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.7 (#118)
- Laguna M.1: —

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |

## Long Context

- GPT-4.1 mini: 31.8 (#275)
- Laguna M.1: —

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |

## Writing & Preference

- GPT-4.1 mini: 48.6 (#199)
- Laguna M.1: —

| Benchmark | GPT-4.1 mini | Laguna M.1 |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |

## FAQ

### Is GPT-4.1 mini better than Laguna M.1?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 32.5 on the Noometry Index.

### Is GPT-4.1 mini or Laguna M.1 better for coding?

Laguna M.1 scores higher on coding benchmarks: 36.6 versus 30.6 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.
