Model comparison
GPT-5.4 nano vs o4-mini
GPT-5.4 nano and o4-mini score almost the same on the Noometry Index (41.9 vs 41.6), so choose on price, context window or the category you care about most.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. GPT-5.4 nano scores higher in 4 categories and o4-mini in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where o4-mini leads 45.5 to 41.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 39.7% for GPT-5.4 nano and 67.6% for o4-mini.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- GPT-5.4 nano accepts more context: 400K tokens versus 200K.
Side by side
| GPT-5.4 nano | o4-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 41.9 | 41.6 |
| Released | 2026-03-17 | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.20 | $1.10 |
| Output $ / M tokens | $1.25 | $4.40 |
| Results tracked | 40 | 60 |
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), o4-mini: 40.9 (#127)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| WeirdML | 49.2% | 52.6% |
| LMArena Coding | 1405 | 1368 |
| ALE-Bench | 1,005 | 826.17 |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| SciCode | 46.9% | — |
| GSO | — | 3.6% |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, o4-mini: 32.6 (#61)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| METR Time Horizons | — | 63.9% |
Reasoning Too close to call
GPT-5.4 nano: 23.7 (#173), o4-mini: 24.6 (#162)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| ARC-AGI-2 | 5.7% | 6.1% |
| Kagi LLM Benchmark | 39.7% | 67.6% |
| ARC-AGI-1 | 51.5% | 58.7% |
| CritPt | 9.3% | 0.6% |
| Chess Puzzles | 30% | 26% |
| LMArena Hard Prompts | 1381 | 1351 |
| Mystery Game Puzzles | 9% | 5% |
| DTBench | 80.3% | 77.6% |
| LMCA | 36.9% | 26.5% |
| Epoch Capabilities Index | 145.81 | 145.64 |
| ForecastBench | 57.3 | 61.8 |
| SimpleBench | — | 38.7% |
| EnigmaEval | — | 9.2% |
Math Too close to call
GPT-5.4 nano: 40.9 (#88), o4-mini: 40.8 (#89)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 44.9% | 36.1% |
| FrontierMath Tier 4 | 12.2% | 4.9% |
| OTIS Mock AIME 2024-2025 | 87.8% | 81.7% |
| LMArena Math | 1406 | 1389 |
| FrontierMath (Feb 2025 set) | 25.9% | 24.8% |
| FrontierMath Tier 4 (v1) | 6.3% | 6.3% |
| ProofBench | 5% | — |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |
Knowledge o4-mini leads
GPT-5.4 nano: 41.9 (#103), o4-mini: 43.6 (#91)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| GPQA Diamond | 78.5% | 79.6% |
| SimpleQA Verified | 11.7% | 19.6% |
| Vectara Hallucination Rate | 3.1% | 18.6% |
| LMArena Expert | 1396 | 1343 |
| Humanity's Last Exam | — | 18.1% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| GPQA (HELM) | — | 73.5% |
Multimodal o4-mini leads
GPT-5.4 nano: 36.7 (#78), o4-mini: 40.2 (#49)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| LMArena Vision | 1196 | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.6 (#140), o4-mini: 47.0 (#154)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| LMArena Non-English | 1359 | 1337 |
| LMArena Chinese | 1392 | 1354 |
| LMArena French | 1396 | 1364 |
| LMArena German | 1367 | 1336 |
| LMArena Japanese | 1343 | 1308 |
| LMArena Korean | 1320 | 1312 |
| LMArena Russian | 1363 | 1334 |
| LMArena Spanish | 1371 | 1347 |
Instruction Following o4-mini leads
GPT-5.4 nano: 71.9 (#144), o4-mini: 75.2 (#68)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1362 | 1321 |
| IFEval | — | 92.8% |
Long Context o4-mini leads
GPT-5.4 nano: 41.6 (#137), o4-mini: 45.5 (#33)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| LMArena Longer Query | 1366 | 1315 |
| Fiction.LiveBench | — | 77.8% |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.7 (#142), o4-mini: 54.0 (#152)
| Benchmark | GPT-5.4 nano | o4-mini |
|---|---|---|
| LMArena Text | 1372 | 1353 |
| LMArena Creative Writing | 1314 | 1294 |
| LMArena Multi-Turn | 1382 | 1350 |
| Short-Story Creative Writing | — | 75% |
| WildBench | — | 85.4% |
Frequently asked questions
Is GPT-5.4 nano better than o4-mini?
GPT-5.4 nano and o4-mini score almost the same on the Noometry Index (41.9 vs 41.6), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.4 nano or o4-mini?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; o4-mini lists at $1.10 and $4.40.
Is GPT-5.4 nano or o4-mini better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 nano does, with 400K tokens against 200K.
How many benchmarks do GPT-5.4 nano and o4-mini share?
38 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and o4-mini has 60.