Model comparison
Claude 3.5 Sonnet vs GPT-4 Turbo
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 30.5 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 8 categories and GPT-4 Turbo in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.5 Sonnet leads 19.2 to 9.0.
- The biggest single-benchmark swing is WeirdML: 40% for Claude 3.5 Sonnet and 18% for GPT-4 Turbo.
Side by side
| Claude 3.5 Sonnet | GPT-4 Turbo | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 34.6 | 30.5 |
| Released | 2024-06-20 | 2023-11-06 |
| Weights | Proprietary | Proprietary |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $10 |
| Output $ / M tokens | — | $30 |
| Results tracked | 60 | 36 |
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Category by category
Coding Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.0 (#165), GPT-4 Turbo: 33.8 (#249)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| WeirdML | 40% | 18% |
| BigCodeBench Instruct | 46.8% | 48.2% |
| LMArena Coding | 1342 | 1268 |
| BigCodeBench Complete | 58.6% | 58.2% |
| HumanEval+ | 81.7% | 86.6% |
| MBPP+ | 74.3% | 73.3% |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| LiveBench Coding | 67.1% | — |
| CadEval | 48% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Sonnet: 32.3 (#67), GPT-4 Turbo: —
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| METR Time Horizons | 45.2% | 36.7% |
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
Reasoning Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 23.1 (#183), GPT-4 Turbo: 15.3 (#317)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| SimpleBench | 41.4% | 25.1% |
| LMArena Hard Prompts | 1305 | 1251 |
| DTBench | 67.8% | 61.6% |
| Epoch Capabilities Index | 133.55 | 127.25 |
| ForecastBench | 60.7 | 59.4 |
| Chess Puzzles | — | 6% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| LiveBench Data Analysis | 55% | — |
| LMCA | — | 9.8% |
| LiveBench | 59% | — |
Math Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 19.2 (#288), GPT-4 Turbo: 9.0 (#322)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 6.7% |
| LMArena Math | 1307 | 1272 |
| MATH Level 5 | 56.9% | 46.7% |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 28.6 (#245), GPT-4 Turbo: 24.3 (#268)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| GPQA Diamond | 55.3% | 46.6% |
| Confabulations | 19.9% | 28.4% |
| LMArena Expert | 1265 | 1223 |
| MMLU | 87.3% | 81.3% |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| GPQA (HELM) | 56.5% | — |
Multimodal GPT-4 Turbo leads
Claude 3.5 Sonnet: 26.5 (#120), GPT-4 Turbo: 30.6 (#110)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | 1125 | 1090 |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 43.2 (#185), GPT-4 Turbo: 40.5 (#216)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 1283 | 1245 |
| LMArena Chinese | 1272 | 1242 |
| LMArena French | 1305 | 1276 |
| LMArena German | 1297 | 1259 |
| LMArena Japanese | 1234 | 1194 |
| LMArena Korean | 1200 | 1187 |
| LMArena Russian | 1306 | 1259 |
| LMArena Spanish | 1290 | 1260 |
Instruction Following Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 68.8 (#182), GPT-4 Turbo: 65.8 (#216)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1297 | 1249 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#167), GPT-4 Turbo: 38.0 (#206)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | 1311 | 1254 |
Writing & Preference Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 52.9 (#164), GPT-4 Turbo: 47.7 (#206)
| Benchmark | Claude 3.5 Sonnet | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1298 | 1272 |
| LMArena Creative Writing | 1292 | 1269 |
| LMArena Multi-Turn | 1326 | 1267 |
| Short-Story Creative Writing | 80.3% | — |
| EQ-Bench Creative Writing | 1451 | — |
| WildBench | 79.2% | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than GPT-4 Turbo?
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 30.5 on the Noometry Index.
Is Claude 3.5 Sonnet or GPT-4 Turbo better for coding?
Claude 3.5 Sonnet scores higher on coding benchmarks: 39.0 versus 33.8 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and GPT-4 Turbo share?
33 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and GPT-4 Turbo has 36.