Model comparison
Claude 3 Sonnet vs GPT-4V
Claude 3 Sonnet has enough public results to be ranked (#319); GPT-4V does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in multimodal, where GPT-4V leads 33.2 to 25.2.
Side by side
| Claude 3 Sonnet | GPT-4V | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.0 | 36.4 |
| Released | 2024-02-29 | 2023-11-06 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 1 |
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Category by category
Coding Not comparable
Claude 3 Sonnet: 29.6 (#302), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| WeirdML | 10.2% | — |
| BigCodeBench Instruct | 42.7% | — |
| LMArena Coding | 1223 | — |
| BigCodeBench Complete | 53.8% | — |
| HumanEval+ | 64% | — |
| MBPP+ | 69.3% | — |
Reasoning Not comparable
Claude 3 Sonnet: 20.5 (#237), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| LMArena Hard Prompts | 1197 | — |
| DTBench | 53.6% | — |
| Epoch Capabilities Index | 120.7 | — |
| WinoGrande | 75.1% | — |
Math Not comparable
Claude 3 Sonnet: 10.7 (#310), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| LMArena Math | 1213 | — |
| MATH Level 5 | 18.2% | — |
Knowledge Not comparable
Claude 3 Sonnet: 21.1 (#276), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| GPQA Diamond | 40.6% | — |
| LMArena Expert | 1173 | — |
| MMLU | 75.9% | — |
Multimodal GPT-4V leads
Claude 3 Sonnet: 25.2 (#125), GPT-4V: 33.2
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| LMArena Vision | 984 | — |
| Video-MME | — | 59.9% |
Multilingual Not comparable
Claude 3 Sonnet: 37.8 (#234), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| LMArena Non-English | 1205 | — |
| LMArena Chinese | 1189 | — |
| LMArena French | 1229 | — |
| LMArena German | 1204 | — |
| LMArena Japanese | 1131 | — |
| LMArena Korean | 1128 | — |
| LMArena Russian | 1227 | — |
| LMArena Spanish | 1204 | — |
Instruction Following Not comparable
Claude 3 Sonnet: 62.8 (#235), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| LMArena Instruction Following | 1199 | — |
Long Context Not comparable
Claude 3 Sonnet: 36.7 (#228), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| LMArena Longer Query | 1211 | — |
Writing & Preference Not comparable
Claude 3 Sonnet: 42.1 (#238), GPT-4V: —
| Benchmark | Claude 3 Sonnet | GPT-4V |
|---|---|---|
| LMArena Text | 1218 | — |
| LMArena Creative Writing | 1186 | — |
| LMArena Multi-Turn | 1227 | — |
Frequently asked questions
Is Claude 3 Sonnet better than GPT-4V?
Claude 3 Sonnet has enough public results to be ranked (#319); GPT-4V does not yet, so treat this comparison as directional.
How many benchmarks do Claude 3 Sonnet and GPT-4V share?
0 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and GPT-4V has 1.