Model comparison
GPT-4 vs GPT-4 Turbo
GPT-4 Turbo is the stronger model overall, scoring 30.3 to 28.9 on the Noometry Index.
Last verified . 31 shared benchmarks.
Summary
- They share 31 benchmarks with published results for both. GPT-4 scores higher in 3 categories and GPT-4 Turbo in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4 Turbo leads 47.9 to 35.0.
- The biggest single-benchmark swing is MATH Level 5: 23% for GPT-4 and 46.7% for GPT-4 Turbo.
- GPT-4 Turbo is cheaper at $10 / $30 per million input/output tokens, against $30 / $60 for GPT-4.
- GPT-4 Turbo accepts more context: 128K tokens versus 8K.
Side by side
| GPT-4 | GPT-4 Turbo | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 28.9 | 30.3 |
| Released | 2023-03-14 | 2023-11-06 |
| Weights | Proprietary | Proprietary |
| Context window | 8K | 128K |
| Max output | 8K | 4K |
| Input $ / M tokens | $30 | $10 |
| Output $ / M tokens | $60 | $30 |
| Results tracked | 38 | 36 |
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Category by category
Coding GPT-4 Turbo leads
GPT-4: 31.2 (#277), GPT-4 Turbo: 33.4 (#247)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| WeirdML | 12.4% | 18% |
| BigCodeBench Instruct | 46% | 48.2% |
| LMArena Coding | 1254 | 1268 |
| BigCodeBench Complete | 57.2% | 58.2% |
| HumanEval+ | 79.3% | 86.6% |
| MBPP+ | — | 73.3% |
Agentic & Tool Use Not comparable
GPT-4: —, GPT-4 Turbo: —
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| METR Time Horizons | 36.1% | 36.7% |
Reasoning GPT-4 leads
GPT-4: 17.3 (#285), GPT-4 Turbo: 14.9 (#311)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| Chess Puzzles | 4% | 6% |
| LMArena Hard Prompts | 1241 | 1251 |
| DTBench | 62.7% | 61.6% |
| LMCA | 17.1% | 9.8% |
| Epoch Capabilities Index | 125.88 | 127.25 |
| ForecastBench | 57.8 | 59.4 |
| SimpleBench | — | 25.1% |
| Mystery Game Puzzles | 12% | — |
| BIG-Bench Hard | 75.1% | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |
Math GPT-4 leads
GPT-4: 10.1 (#304), GPT-4 Turbo: 8.6 (#316)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 6.7% |
| LMArena Math | 1269 | 1272 |
| MATH Level 5 | 23% | 46.7% |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| GSM8K | 92% | — |
Knowledge GPT-4 Turbo leads
GPT-4: 18.4 (#277), GPT-4 Turbo: 24.3 (#263)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| GPQA Diamond | 35.7% | 46.6% |
| LMArena Expert | 1211 | 1223 |
| MMLU | 86.4% | 81.3% |
| Confabulations | — | 28.4% |
| TriviaQA | 84.8% | — |
Multimodal Not comparable
GPT-4: —, GPT-4 Turbo: 30.0 (#104)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | — | 1090 |
Multilingual Too close to call
GPT-4: 40.8 (#210), GPT-4 Turbo: 40.7 (#211)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 1246 | 1245 |
| LMArena Chinese | 1242 | 1242 |
| LMArena French | 1282 | 1275 |
| LMArena German | 1251 | 1259 |
| LMArena Japanese | 1209 | 1194 |
| LMArena Korean | 1184 | 1187 |
| LMArena Russian | 1251 | 1259 |
| LMArena Spanish | 1261 | 1260 |
Instruction Following Too close to call
GPT-4: 65.5 (#217), GPT-4 Turbo: 66.0 (#211)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1241 | 1250 |
Long Context Too close to call
GPT-4: 37.7 (#207), GPT-4 Turbo: 38.0 (#200)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | 1244 | 1254 |
Writing & Preference GPT-4 Turbo leads
GPT-4: 35.0 (#263), GPT-4 Turbo: 47.9 (#201)
| Benchmark | GPT-4 | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1263 | 1272 |
| LMArena Creative Writing | 1244 | 1269 |
| LMArena Multi-Turn | 1257 | 1267 |
| EQ-Bench Creative Writing | 752 | — |
Frequently asked questions
Is GPT-4 better than GPT-4 Turbo?
GPT-4 Turbo is the stronger model overall, scoring 30.3 to 28.9 on the Noometry Index.
Which is cheaper, GPT-4 or GPT-4 Turbo?
GPT-4 Turbo is cheaper. It lists at $10 per million input tokens and $30 per million output tokens; GPT-4 lists at $30 and $60.
Is GPT-4 or GPT-4 Turbo better for coding?
GPT-4 Turbo scores higher on coding benchmarks: 33.4 versus 31.2 in the Noometry coding category.
Which has the bigger context window?
GPT-4 Turbo does, with 128K tokens against 8K.
How many benchmarks do GPT-4 and GPT-4 Turbo share?
31 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and GPT-4 Turbo has 36.