Model comparison
GPT-5.4 nano vs o3-pro
GPT-5.4 nano and o3-pro score almost the same on the Noometry Index (41.9 vs 42.7), so choose on price, context window or the category you care about most.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. GPT-5.4 nano scores higher in 1 category and o3-pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 41.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 39.7% for GPT-5.4 nano and 72.1% for o3-pro.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $20 / $80 for o3-pro.
- GPT-5.4 nano accepts more context: 400K tokens versus 200K.
Side by side
| GPT-5.4 nano | o3-pro | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 41.9 | 42.7 |
| Released | 2026-03-17 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.20 | $20 |
| Output $ / M tokens | $1.25 | $80 |
| Results tracked | 40 | 12 |
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Category by category
Coding o3-pro leads
GPT-5.4 nano: 43.1 (#82), o3-pro: 55.1 (#22)
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| WeirdML | 49.2% | 58.2% |
| Aider Polyglot | — | 84.9% |
| SciCode | 46.9% | — |
| LMArena Coding | 1404 | — |
| ALE-Bench | 1,005 | — |
Reasoning Too close to call
GPT-5.4 nano: 23.8 (#159), o3-pro: 24.1 (#152)
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| ARC-AGI-2 | 5.7% | 4.9% |
| Kagi LLM Benchmark | 39.7% | 72.1% |
| ARC-AGI-1 | 51.5% | 59.3% |
| DTBench | 80.3% | 86.9% |
| LMCA | 36.9% | 38.5% |
| Epoch Capabilities Index | 145.78 | 147.43 |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| LMArena Hard Prompts | 1380 | — |
| Mystery Game Puzzles | 9% | — |
| ForecastBench | 57.3 | — |
Math Not comparable
GPT-5.4 nano: 40.7 (#76), o3-pro: —
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| LMArena Math | 1406 | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.8 (#94), o3-pro: 29.0 (#234)
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 3.1% | 23.3% |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Confabulations | — | 14.2% |
| LMArena Expert | 1397 | — |
Multimodal Not comparable
GPT-5.4 nano: 36.0 (#73), o3-pro: —
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual Not comparable
GPT-5.4 nano: 48.8 (#136), o3-pro: —
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1391 | — |
| LMArena French | 1396 | — |
| LMArena German | 1368 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1321 | — |
| LMArena Russian | 1363 | — |
| LMArena Spanish | 1368 | — |
Instruction Following Not comparable
GPT-5.4 nano: 72.1 (#139), o3-pro: —
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1362 | — |
Long Context o3-pro leads
GPT-5.4 nano: 41.6 (#131), o3-pro: 72.1 (#1)
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1365 | — |
Writing & Preference o3-pro leads
GPT-5.4 nano: 55.9 (#137), o3-pro: 57.1 (#128)
| Benchmark | GPT-5.4 nano | o3-pro |
|---|---|---|
| LMArena Text | 1372 | — |
| LMArena Creative Writing | 1313 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1382 | — |
Frequently asked questions
Is GPT-5.4 nano better than o3-pro?
GPT-5.4 nano and o3-pro score almost the same on the Noometry Index (41.9 vs 42.7), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.4 nano or o3-pro?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; o3-pro lists at $20 and $80.
Is GPT-5.4 nano or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 43.1 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 o3-pro share?
8 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and o3-pro has 12.