# GPT-4.1 mini vs o1

> o1 is the stronger model overall, scoring 40.6 to 33.5 on the Noometry Index. GPT-4.1 mini costs 37× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-o1
- Last updated: 2026-10-10
- Shared benchmarks: 33

## Summary

- They share 33 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and o1 in 8 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where o1 leads 50.3 to 31.8.
- The biggest single-benchmark swing is CadEval: 16% for GPT-4.1 mini and 56% for o1.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $15 / $60 for o1.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | GPT-4.1 mini | o1 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 33.5 | 40.6 |
| Rank | 232 | 140 |
| Context | 1.05M | 200K |
| Input $/M | $0.40 | $15 |
| Output $/M | $1.60 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1 mini: 30.4 (#286)
- o1: 45.7 (#64)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| Aider Polyglot | 32.4% | 61.7% |
| WeirdML | 37.6% | 47.6% |
| LMArena Coding | 1367 | 1367 |
| CadEval | 16% | 56% |
| SWE-bench Verified (bash only) | 23.9% | — |
| SciCode | 40.4% | — |
| BigCodeBench Instruct | 48.9% | — |
| LiveBench Coding | — | 69.7% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- GPT-4.1 mini: 33.0 (#52)
- o1: 24.3 (#111)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |

## Reasoning

- GPT-4.1 mini: 10.9 (#335)
- o1: 27.5 (#103)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| ARC-AGI-1 | 3.5% | 30.7% |
| Chess Puzzles | 7% | 15% |
| LMArena Hard Prompts | 1349 | 1372 |
| DTBench | 68.8% | 74.7% |
| LMCA | 21.1% | 22.3% |
| Epoch Capabilities Index | 135.01 | 141.92 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | — | 41.7% |
| Kagi LLM Benchmark | 48.6% | — |
| CritPt | 0% | — |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| Mystery Game Puzzles | 7% | — |
| LiveBench Data Analysis | — | 65.5% |
| LiveBench | — | 75.7% |

## Math

- GPT-4.1 mini: 23.1 (#264)
- o1: 34.9 (#150)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | 14.7% |
| OTIS Mock AIME 2024-2025 | 44.7% | 73.3% |
| LMArena Math | 1343 | 1388 |
| MATH Level 5 | 87.3% | 94.7% |
| FrontierMath (Feb 2025 set) | 4.5% | 9.3% |
| Omni-MATH | 49.1% | — |
| LiveBench Math | — | 80.3% |

## Knowledge

- GPT-4.1 mini: 34.7 (#183)
- o1: 41.5 (#101)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| GPQA Diamond | 65.8% | 76.8% |
| SimpleQA Verified | 12.7% | 41.1% |
| LMArena Expert | 1338 | 1362 |
| Humanity's Last Exam | — | 8% |
| MMLU-Pro | 78.3% | — |
| Confabulations | — | 11.7% |
| GPQA (HELM) | 61.4% | — |

## Multimodal

- GPT-4.1 mini: 35.2 (#77)
- o1: 33.6 (#87)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| LMArena Vision | 1181 | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- GPT-4.1 mini: 45.9 (#161)
- o1: 48.8 (#137)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| LMArena Non-English | 1318 | 1359 |
| LMArena Chinese | 1329 | 1394 |
| LMArena French | 1357 | 1343 |
| LMArena German | 1349 | 1337 |
| LMArena Japanese | 1291 | 1346 |
| LMArena Korean | 1298 | 1396 |
| LMArena Russian | 1324 | 1356 |
| LMArena Spanish | 1319 | 1345 |

## Instruction Following

- GPT-4.1 mini: 73.9 (#113)
- o1: 75.0 (#82)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| LMArena Instruction Following | 1332 | 1368 |
| LiveBench Instruction Following | — | 81.5% |
| IFEval | 90.4% | — |

## Long Context

- GPT-4.1 mini: 31.8 (#270)
- o1: 50.3 (#9)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| Fiction.LiveBench | 44.4% | 83.3% |
| LMArena Longer Query | 1344 | 1378 |

## Writing & Preference

- GPT-4.1 mini: 48.8 (#193)
- o1: 55.8 (#139)

| Benchmark | GPT-4.1 mini | o1 |
|---|---|---|
| LMArena Text | 1341 | 1366 |
| LMArena Creative Writing | 1300 | 1347 |
| LMArena Multi-Turn | 1354 | 1368 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LiveBench Language | — | 65.4% |

## FAQ

### Is GPT-4.1 mini better than o1?

o1 is the stronger model overall, scoring 40.6 to 33.5 on the Noometry Index. GPT-4.1 mini costs 37× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.

### Which is cheaper, GPT-4.1 mini or o1?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; o1 lists at $15 and $60.

### Is GPT-4.1 mini or o1 better for coding?

o1 scores higher on coding benchmarks: 45.7 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 200K.

### How many benchmarks do GPT-4.1 mini and o1 share?

33 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and o1 has 52.