Model comparison
GPT-4 vs GPT-4o
GPT-4 and GPT-4o score almost the same on the Noometry Index (29.1 vs 28.6), so choose on price, context window or the category you care about most.
Last verified . 31 shared benchmarks.
Summary
- They share 31 benchmarks with published results for both. GPT-4 scores higher in 3 categories and GPT-4o in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4o leads 52.6 to 34.9.
- The biggest single-benchmark swing is MATH Level 5: 23% for GPT-4 and 53.3% for GPT-4o.
- GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $30 / $60 for GPT-4.
- GPT-4o accepts more context: 128K tokens versus 8K.
Side by side
| GPT-4 | GPT-4o | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 29.1 | 28.6 |
| Released | 2023-03-14 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 8K | 128K |
| Max output | 8K | 16K |
| Input $ / M tokens | $30 | $2.50 |
| Output $ / M tokens | $60 | $10 |
| Results tracked | 38 | 72 |
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Category by category
Coding GPT-4 leads
GPT-4: 31.6 (#283), GPT-4o: 24.8 (#328)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| WeirdML | 12.4% | 25.1% |
| BigCodeBench Instruct | 46% | 51.1% |
| LMArena Coding | 1254 | 1297 |
| BigCodeBench Complete | 57.2% | 61.1% |
| HumanEval+ | 79.3% | 87.2% |
| SWE-bench Verified | — | 31% |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| GSO | — | 0% |
| LiveBench Coding | — | 51.4% |
| CadEval | — | 26% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
GPT-4: —, GPT-4o: 21.0 (#141)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| METR Time Horizons | 36.1% | 40.8% |
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| LMArena Search | — | 1006 |
Reasoning GPT-4 leads
GPT-4: 17.8 (#289), GPT-4o: 9.4 (#343)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| Chess Puzzles | 4% | 13% |
| LMArena Hard Prompts | 1241 | 1281 |
| DTBench | 62.7% | 64.5% |
| LMCA | 17.1% | 16.6% |
| Epoch Capabilities Index | 125.89 | 128.97 |
| ForecastBench | 57.8 | 57.7 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 17.8% |
| ARC-AGI-1 | — | 4.5% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | — | 55.8% |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | — | 60.9% |
| BIG-Bench Hard | 75.1% | — |
| HellaSwag | 95.3% | — |
| LiveBench | — | 55.3% |
| WinoGrande | 87.5% | — |
Math Too close to call
GPT-4: 10.8 (#309), GPT-4o: 10.6 (#312)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 6.4% |
| LMArena Math | 1269 | 1285 |
| MATH Level 5 | 23% | 53.3% |
| FrontierMath (Tiers 1-3) | — | 0.4% |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 92% | — |
Knowledge GPT-4o leads
GPT-4: 18.4 (#282), GPT-4o: 28.8 (#242)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| GPQA Diamond | 35.7% | 49.2% |
| LMArena Expert | 1211 | 1250 |
| MMLU | 86.4% | 88.1% |
| Humanity's Last Exam | — | 2.7% |
| SimpleQA Verified | — | 26% |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| Vectara Hallucination Rate | — | 9.6% |
| GPQA (HELM) | — | 52% |
| TriviaQA | 84.8% | — |
Multimodal Not comparable
GPT-4: —, GPT-4o: 34.5 (#91)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| LMArena Vision | — | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| ScienceQA | — | 88.5% |
Multilingual GPT-4o leads
GPT-4: 40.6 (#215), GPT-4o: 43.2 (#186)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| LMArena Non-English | 1246 | 1283 |
| LMArena Chinese | 1242 | 1277 |
| LMArena French | 1283 | 1304 |
| LMArena German | 1251 | 1282 |
| LMArena Japanese | 1209 | 1257 |
| LMArena Korean | 1184 | 1234 |
| LMArena Russian | 1251 | 1286 |
| LMArena Spanish | 1261 | 1292 |
Instruction Following GPT-4o leads
GPT-4: 65.3 (#222), GPT-4o: 66.6 (#207)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| LMArena Instruction Following | 1241 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |
Long Context GPT-4o leads
GPT-4: 37.7 (#212), GPT-4o: 39.4 (#179)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1244 | 1289 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GPT-4o leads
GPT-4: 34.9 (#268), GPT-4o: 52.6 (#166)
| Benchmark | GPT-4 | GPT-4o |
|---|---|---|
| LMArena Text | 1263 | 1300 |
| LMArena Creative Writing | 1244 | 1292 |
| LMArena Multi-Turn | 1257 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 752 | — |
| WildBench | — | 82.8% |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is GPT-4 better than GPT-4o?
GPT-4 and GPT-4o score almost the same on the Noometry Index (29.1 vs 28.6), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4 or GPT-4o?
GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-4 lists at $30 and $60.
Is GPT-4 or GPT-4o better for coding?
GPT-4 scores higher on coding benchmarks: 31.6 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
GPT-4o does, with 128K tokens against 8K.
How many benchmarks do GPT-4 and GPT-4o share?
31 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and GPT-4o has 72.