Model comparison
GPT-4o vs GPT-5.4
GPT-5.4 is the stronger model overall, scoring 59.4 to 28.6 on the Noometry Index.
Last verified . 39 shared benchmarks.
Summary
- They share 39 benchmarks with published results for both. GPT-4o scores higher in 0 categories and GPT-5.4 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 leads 73.5 to 10.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.4% for GPT-4o and 97.8% for GPT-5.4.
- GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $2.50 / $15 for GPT-5.4.
- GPT-5.4 accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-4o | GPT-5.4 | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 28.6 | 59.4 |
| Released | 2024-05-13 | 2026-03-05 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 16K | 128K |
| Input $ / M tokens | $2.50 | $2.50 |
| Output $ / M tokens | $10 | $15 |
| Results tracked | 72 | 68 |
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Category by category
Coding GPT-5.4 leads
GPT-4o: 24.8 (#328), GPT-5.4: 52.6 (#33)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| SWE-bench Verified | 31% | 76.9% |
| GSO | 0% | 31.4% |
| WeirdML | 25.1% | 77.7% |
| LMArena Coding | 1297 | 1497 |
| DeepSWE | — | 51.8% |
| SWE-bench Verified (bash only) | 21.6% | — |
| Aider Polyglot | 45.3% | — |
| LMArena WebDev | — | 1465 |
| SciCode | — | 56.6% |
| BigCodeBench Instruct | 51.1% | — |
| LiveBench Coding | 51.4% | — |
| MirrorCode | — | 15.6% |
| BigCodeBench Complete | 61.1% | — |
| CadEval | 26% | — |
| ALE-Bench | — | 1,607 |
| AlgoTune | — | 1.85 |
| HumanEval+ | 87.2% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use GPT-5.4 leads
GPT-4o: 21.0 (#141), GPT-5.4: 46.5 (#13)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| LMArena Search | 1006 | 1197 |
| METR Time Horizons | 40.8% | 74.3% |
| Terminal-Bench | — | 81.8% |
| APEX-Agents | — | 52.4% |
| GDPval | 9.9% | — |
| TheAgentCompany | 8.6% | — |
| τ²-bench Banking | — | 39.4% |
| Cybench | 12.5% | — |
| DeepResearch Bench | — | 35.1% |
| PostTrainBench | — | 19% |
| BALROG | 32.3% | — |
| GBAEval | — | 45.1% |
| Vending-Bench 2 | — | 6,144 |
Reasoning GPT-5.4 leads
GPT-4o: 9.4 (#343), GPT-5.4: 61.8 (#19)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| ARC-AGI-2 | 0% | 74% |
| ARC-AGI-1 | 4.5% | 93.7% |
| CritPt | 0% | 23.4% |
| Chess Puzzles | 13% | 44% |
| EnigmaEval | 0.8% | 16% |
| LMArena Hard Prompts | 1281 | 1485 |
| DTBench | 64.5% | 94.4% |
| LMCA | 16.6% | 52% |
| Epoch Capabilities Index | 128.97 | 156.81 |
| ForecastBench | 57.7 | 59.5 |
| SimpleBench | 17.8% | — |
| Kagi LLM Benchmark | — | 63.8% |
| NYT Connections (extended) | — | 91.3% |
| Thematic Generalization | — | 80% |
| EBR-Bench | — | 25.4% |
| LiveBench Reasoning | 55.8% | — |
| Mystery Game Puzzles | — | 37% |
| LiveBench Data Analysis | 60.9% | — |
| LiveBench | 55.3% | — |
Math GPT-5.4 leads
GPT-4o: 10.6 (#312), GPT-5.4: 73.5 (#19)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.4% | 78.6% |
| OTIS Mock AIME 2024-2025 | 6.4% | 97.8% |
| LMArena Math | 1285 | 1488 |
| FrontierMath (Feb 2025 set) | 0.3% | 47.6% |
| FrontierMath Tier 4 | — | 49% |
| MathArena Final-Answer Competitions | — | 83.1% |
| ProofBench | — | 56% |
| Omni-MATH | 29.3% | — |
| LiveBench Math | 49.5% | — |
| MATH Level 5 | 53.3% | — |
| FrontierMath Tier 4 (v1) | — | 27.1% |
Knowledge GPT-5.4 leads
GPT-4o: 28.8 (#242), GPT-5.4: 65.3 (#14)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| GPQA Diamond | 49.2% | 93.3% |
| Humanity's Last Exam | 2.7% | 36.2% |
| SimpleQA Verified | 26% | 45.1% |
| Vectara Hallucination Rate | 9.6% | 7% |
| LMArena Expert | 1250 | 1507 |
| MMLU-Pro | 71.3% | — |
| Confabulations | 15.3% | — |
| GPQA (HELM) | 52% | — |
| MMLU | 88.1% | — |
Multimodal GPT-5.4 leads
GPT-4o: 34.5 (#91), GPT-5.4: 43.7 (#20)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| LMArena Vision | 1137 | 1303 |
| Video-MME | 71.9% | — |
| GeoBench | 71% | — |
| VPCT | 40% | — |
| Blueprint-Bench 2 | — | 27.1% |
| Furniture Assembly | — | 37.5% |
| LMArena Document | — | 1471 |
| ScienceQA | 88.5% | — |
Multilingual GPT-5.4 leads
GPT-4o: 43.2 (#186), GPT-5.4: 56.2 (#23)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| LMArena Non-English | 1283 | 1465 |
| LMArena Chinese | 1277 | 1519 |
| LMArena French | 1304 | 1493 |
| LMArena German | 1282 | 1472 |
| LMArena Japanese | 1257 | 1485 |
| LMArena Korean | 1234 | 1448 |
| LMArena Russian | 1286 | 1480 |
| LMArena Spanish | 1292 | 1454 |
Instruction Following GPT-5.4 leads
GPT-4o: 66.6 (#207), GPT-5.4: 77.1 (#27)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| LMArena Instruction Following | 1278 | 1469 |
| LiveBench Instruction Following | 68.6% | — |
| IFEval | 81.7% | — |
Long Context GPT-5.4 leads
GPT-4o: 39.4 (#179), GPT-5.4: 50.3 (#8)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| LMArena Longer Query | 1289 | 1473 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | — | 27.9% |
| CL-bench Life | — | 21.7% |
Writing & Preference GPT-5.4 leads
GPT-4o: 52.6 (#166), GPT-5.4: 71.9 (#17)
| Benchmark | GPT-4o | GPT-5.4 |
|---|---|---|
| LMArena Text | 1300 | 1469 |
| LMArena Creative Writing | 1292 | 1439 |
| LMArena Multi-Turn | 1302 | 1482 |
| Short-Story Creative Writing | 81.8% | — |
| EQ-Bench Creative Writing | — | 1840 |
| WildBench | 82.8% | — |
| EQ-Bench 4 | — | 1272 |
| LiveBench Language | 47.6% | — |
Frequently asked questions
Is GPT-4o better than GPT-5.4?
GPT-5.4 is the stronger model overall, scoring 59.4 to 28.6 on the Noometry Index.
Which is cheaper, GPT-4o or GPT-5.4?
GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-5.4 lists at $2.50 and $15.
Is GPT-4o or GPT-5.4 better for coding?
GPT-5.4 scores higher on coding benchmarks: 52.6 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 does, with 1.05M tokens against 128K.
How many benchmarks do GPT-4o and GPT-5.4 share?
39 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and GPT-5.4 has 68.