Model comparison
o1 vs o4-mini
o1 and o4-mini score almost the same on the Noometry Index (40.9 vs 41.6), so choose on price, context window or the category you care about most.
Last verified . 41 shared benchmarks.
Summary
- They share 41 benchmarks with published results for both. o1 scores higher in 5 categories and o4-mini in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where o4-mini leads 32.6 to 24.6.
- The biggest single-benchmark swing is ARC-AGI-1: 30.7% for o1 and 58.7% for o4-mini.
- o4-mini is cheaper at $1.10 / $4.40 per million input/output tokens, against $15 / $60 for o1.
Side by side
| o1 | o4-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 40.9 | 41.6 |
| Released | 2024-09-12 | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 200K |
| Max output | 100K | 100K |
| Input $ / M tokens | $15 | $1.10 |
| Output $ / M tokens | $60 | $4.40 |
| Results tracked | 52 | 60 |
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Category by category
Coding o1 leads
o1: 46.1 (#70), o4-mini: 40.9 (#127)
| Benchmark | o1 | o4-mini |
|---|---|---|
| Aider Polyglot | 61.7% | 72% |
| WeirdML | 47.6% | 52.6% |
| LMArena Coding | 1367 | 1368 |
| CadEval | 56% | 62% |
| SWE-bench Verified (bash only) | — | 45% |
| GSO | — | 3.6% |
| LiveBench Coding | 69.7% | — |
| ALE-Bench | — | 826.17 |
| AlgoTune | — | 1.72 |
| HumanEval+ | 89% | — |
| MBPP+ | 80.2% | — |
Agentic & Tool Use o4-mini leads
o1: 24.6 (#117), o4-mini: 32.6 (#61)
| Benchmark | o1 | o4-mini |
|---|---|---|
| METR Time Horizons | 51.1% | 63.9% |
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| Cybench | 10% | — |
Reasoning o1 leads
o1: 27.9 (#111), o4-mini: 24.6 (#162)
| Benchmark | o1 | o4-mini |
|---|---|---|
| SimpleBench | 41.7% | 38.7% |
| ARC-AGI-1 | 30.7% | 58.7% |
| Chess Puzzles | 15% | 26% |
| EnigmaEval | 5.7% | 9.2% |
| LMArena Hard Prompts | 1371 | 1351 |
| DTBench | 74.7% | 77.6% |
| LMCA | 22.3% | 26.5% |
| Epoch Capabilities Index | 141.91 | 145.64 |
| ARC-AGI-2 | — | 6.1% |
| Kagi LLM Benchmark | — | 67.6% |
| CritPt | — | 0.6% |
| LiveBench Reasoning | 91.6% | — |
| Mystery Game Puzzles | — | 5% |
| LiveBench Data Analysis | 65.5% | — |
| ForecastBench | — | 61.8 |
| LiveBench | 75.7% | — |
Math o4-mini leads
o1: 36.1 (#175), o4-mini: 40.8 (#89)
| Benchmark | o1 | o4-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 14.7% | 36.1% |
| OTIS Mock AIME 2024-2025 | 73.3% | 81.7% |
| LMArena Math | 1388 | 1389 |
| MATH Level 5 | 94.7% | 97.8% |
| FrontierMath (Feb 2025 set) | 9.3% | 24.8% |
| FrontierMath Tier 4 | — | 4.9% |
| Omni-MATH | — | 72% |
| LiveBench Math | 80.3% | — |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge o4-mini leads
o1: 41.5 (#110), o4-mini: 43.6 (#91)
| Benchmark | o1 | o4-mini |
|---|---|---|
| GPQA Diamond | 76.8% | 79.6% |
| Humanity's Last Exam | 8% | 18.1% |
| SimpleQA Verified | 41.1% | 19.6% |
| Confabulations | 11.7% | 15.8% |
| LMArena Expert | 1361 | 1343 |
| MMLU-Pro | — | 82% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
Multimodal o4-mini leads
o1: 34.2 (#93), o4-mini: 40.2 (#49)
| Benchmark | o1 | o4-mini |
|---|---|---|
| LMArena Vision | 1168 | 1194 |
| GeoBench | 80% | 64% |
| VPCT | 37% | 57.5% |
| SpatialViz-Bench | 41.4% | — |
Multilingual o1 leads
o1: 48.6 (#142), o4-mini: 47.0 (#154)
| Benchmark | o1 | o4-mini |
|---|---|---|
| LMArena Non-English | 1358 | 1337 |
| LMArena Chinese | 1394 | 1354 |
| LMArena French | 1344 | 1364 |
| LMArena German | 1337 | 1336 |
| LMArena Japanese | 1346 | 1308 |
| LMArena Korean | 1396 | 1312 |
| LMArena Russian | 1356 | 1334 |
| LMArena Spanish | 1345 | 1347 |
Instruction Following Too close to call
o1: 74.8 (#86), o4-mini: 75.2 (#68)
| Benchmark | o1 | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1367 | 1321 |
| LiveBench Instruction Following | 81.5% | — |
| IFEval | — | 92.8% |
Long Context o1 leads
o1: 50.3 (#9), o4-mini: 45.5 (#33)
| Benchmark | o1 | o4-mini |
|---|---|---|
| Fiction.LiveBench | 83.3% | 77.8% |
| LMArena Longer Query | 1378 | 1315 |
Writing & Preference o1 leads
o1: 55.6 (#144), o4-mini: 54.0 (#152)
| Benchmark | o1 | o4-mini |
|---|---|---|
| LMArena Text | 1366 | 1353 |
| LMArena Creative Writing | 1348 | 1294 |
| Short-Story Creative Writing | 70.2% | 75% |
| LMArena Multi-Turn | 1369 | 1350 |
| WildBench | — | 85.4% |
| LiveBench Language | 65.4% | — |
Frequently asked questions
Is o1 better than o4-mini?
o1 and o4-mini score almost the same on the Noometry Index (40.9 vs 41.6), so choose on price, context window or the category you care about most.
Which is cheaper, o1 or o4-mini?
o4-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; o1 lists at $15 and $60.
Is o1 or o4-mini better for coding?
o1 scores higher on coding benchmarks: 46.1 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 200K tokens.
How many benchmarks do o1 and o4-mini share?
41 benchmarks have published results for both models. o1 has 52 scored results on Noometry and o4-mini has 60.