Model comparison
Claude 3.7 Sonnet vs GPT-4o mini
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 25.4 on the Noometry Index.
Last verified . 42 shared benchmarks.
Summary
- They share 42 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 10 categories and GPT-4o mini in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.7 Sonnet leads 35.7 to 9.9.
- The biggest single-benchmark swing is Aider Polyglot: 64.9% for Claude 3.7 Sonnet and 3.6% for GPT-4o mini.
Side by side
| Claude 3.7 Sonnet | GPT-4o mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 39.4 | 25.4 |
| Released | 2025-02-24 | 2024-07-18 |
| Weights | Proprietary | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 58 | 60 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), GPT-4o mini: 21.6 (#330)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| Aider Polyglot | 64.9% | 3.6% |
| LiveBench Coding | 74.5% | 43.1% |
| LMArena Coding | 1361 | 1290 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| GSO | 3.8% | — |
| WeirdML | — | 11.8% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 57.4% |
| CadEval | 54% | — |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), GPT-4o mini: 27.2 (#95)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| BALROG | — | 17.4% |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.7 (#252), GPT-4o mini: 8.7 (#343)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| ARC-AGI-2 | 0.9% | 0% |
| SimpleBench | 46.4% | 10.7% |
| LiveBench Reasoning | 87.8% | 32.8% |
| LMArena Hard Prompts | 1333 | 1267 |
| LiveBench Data Analysis | 74% | 50% |
| Epoch Capabilities Index | 141.16 | 126.56 |
| LiveBench | 76.1% | 41.3% |
| Kagi LLM Benchmark | — | 28.8% |
| ARC-AGI-1 | 28.6% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 4.2% | — |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 54.4% |
| LMCA | — | 10.4% |
| ForecastBench | 61.8 | — |
| PIQA | — | 88.7% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 35.7 (#137), GPT-4o mini: 9.9 (#307)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 6.9% |
| Omni-MATH | 33% | 28% |
| LiveBench Math | 79% | 36.3% |
| LMArena Math | 1336 | 1267 |
| MATH Level 5 | 91.2% | 52.6% |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 91.3% |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), GPT-4o mini: 17.7 (#279)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| GPQA Diamond | 79.7% | 37.7% |
| MMLU-Pro | 78.4% | 60.3% |
| Confabulations | 14.7% | 37.2% |
| GPQA (HELM) | 60.8% | 36.8% |
| LMArena Expert | 1321 | 1235 |
| Humanity's Last Exam | 8% | — |
| SimpleQA Verified | — | 8.3% |
| BoolQ | — | 88.7% |
| MMLU | — | 81.8% |
Multimodal Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.1 (#90), GPT-4o mini: 25.3 (#117)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| LMArena Vision | 1169 | 1066 |
| GeoBench | 68% | 64% |
| VPCT | 39% | 34% |
| Video-MME | — | 64.8% |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.3 (#174), GPT-4o mini: 42.2 (#194)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1296 | 1266 |
| LMArena Chinese | 1299 | 1264 |
| LMArena French | 1302 | 1296 |
| LMArena German | 1301 | 1272 |
| LMArena Japanese | 1268 | 1216 |
| LMArena Korean | 1249 | 1195 |
| LMArena Russian | 1311 | 1275 |
| LMArena Spanish | 1299 | 1276 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), GPT-4o mini: 62.1 (#234)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| LiveBench Instruction Following | 81.3% | 56.8% |
| IFEval | 83.4% | 78.2% |
| LMArena Instruction Following | 1352 | 1259 |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), GPT-4o mini: 39.1 (#181)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1373 | 1289 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.6 (#145), GPT-4o mini: 39.7 (#243)
| Benchmark | Claude 3.7 Sonnet | GPT-4o mini |
|---|---|---|
| LMArena Text | 1314 | 1286 |
| LMArena Creative Writing | 1332 | 1268 |
| Short-Story Creative Writing | 81.1% | 67.2% |
| EQ-Bench Creative Writing | 1412 | 873 |
| WildBench | 81.4% | 79.1% |
| LMArena Multi-Turn | 1339 | 1285 |
| LiveBench Language | 59.9% | 28.6% |
Frequently asked questions
Is Claude 3.7 Sonnet better than GPT-4o mini?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 25.4 on the Noometry Index.
Is Claude 3.7 Sonnet or GPT-4o mini better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 21.6 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and GPT-4o mini share?
42 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and GPT-4o mini has 60.