Model comparison
GPT-5.4 nano vs o1-mini
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 34.0 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. GPT-5.4 nano scores higher in 8 categories and o1-mini in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 nano leads 23.7 to 8.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for GPT-5.4 nano and 46.9% for o1-mini.
Side by side
| GPT-5.4 nano | o1-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 41.9 | 34.0 |
| Released | 2026-03-17 | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), o1-mini: 35.5 (#224)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| WeirdML | 49.2% | 36.3% |
| LMArena Coding | 1405 | 1362 |
| Aider Polyglot | — | 32.9% |
| SciCode | 46.9% | — |
| LiveBench Coding | — | 48% |
| ALE-Bench | 1,005 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, o1-mini: 24.6 (#118)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| Cybench | — | 10% |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.7 (#173), o1-mini: 8.8 (#346)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| ARC-AGI-2 | 5.7% | 0.8% |
| ARC-AGI-1 | 51.5% | 14% |
| LMArena Hard Prompts | 1381 | 1333 |
| Epoch Capabilities Index | 145.81 | 135.82 |
| SimpleBench | — | 18.1% |
| Kagi LLM Benchmark | 39.7% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| LiveBench Reasoning | — | 72.3% |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LiveBench Data Analysis | — | 57.9% |
| LMCA | 36.9% | — |
| ForecastBench | 57.3 | — |
| LiveBench | — | 57.8% |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), o1-mini: 35.4 (#186)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 87.8% | 46.9% |
| LMArena Math | 1406 | 1358 |
| FrontierMath (Feb 2025 set) | 25.9% | 1.7% |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| ProofBench | 5% | — |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), o1-mini: 34.9 (#192)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| GPQA Diamond | 78.5% | 62.4% |
| LMArena Expert | 1396 | 1316 |
| SimpleQA Verified | 11.7% | — |
| Confabulations | — | 18.6% |
| Vectara Hallucination Rate | 3.1% | — |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), o1-mini: —
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.6 (#140), o1-mini: 43.6 (#182)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| LMArena Non-English | 1359 | 1289 |
| LMArena Chinese | 1392 | 1314 |
| LMArena French | 1396 | 1293 |
| LMArena German | 1367 | 1278 |
| LMArena Japanese | 1343 | 1245 |
| LMArena Korean | 1320 | 1223 |
| LMArena Russian | 1363 | 1283 |
| LMArena Spanish | 1371 | 1303 |
Instruction Following GPT-5.4 nano leads
GPT-5.4 nano: 71.9 (#144), o1-mini: 66.7 (#206)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1362 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context GPT-5.4 nano leads
GPT-5.4 nano: 41.6 (#137), o1-mini: 40.1 (#161)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| LMArena Longer Query | 1366 | 1320 |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.7 (#142), o1-mini: 48.4 (#202)
| Benchmark | GPT-5.4 nano | o1-mini |
|---|---|---|
| LMArena Text | 1372 | 1317 |
| LMArena Creative Writing | 1314 | 1244 |
| LMArena Multi-Turn | 1382 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GPT-5.4 nano better than o1-mini?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 34.0 on the Noometry Index.
Is GPT-5.4 nano or o1-mini better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 35.5 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and o1-mini share?
24 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and o1-mini has 39.