# Claude Opus 4.7 vs GPT-4o

> Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 28.5 on the Noometry Index. GPT-4o costs 2.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-7-vs-gpt-4o
- Last updated: 2026-10-10
- Shared benchmarks: 38

## Summary

- They share 38 benchmarks with published results for both. Claude Opus 4.7 scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.7 leads 66.5 to 10.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Claude Opus 4.7 and 6.4% for GPT-4o.
- GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
- Claude Opus 4.7 accepts more context: 1M tokens versus 128K.

## Snapshot

| | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 58.4 | 28.5 |
| Rank | 17 | 316 |
| Context | 1M | 128K |
| Input $/M | $5 | $2.50 |
| Output $/M | $25 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Opus 4.7: 59.9 (#10)
- GPT-4o: 25.1 (#323)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| SWE-bench Verified | 83.5% | 31% |
| GSO | 44.1% | 0% |
| WeirdML | 76.4% | 25.1% |
| LMArena Coding | 1519 | 1297 |
| FrontierCode | 38.5% | — |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| LMArena WebDev | 1557 | — |
| SciCode | 54.5% | — |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| MirrorCode | 31.1% | — |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 1,323 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |

## Agentic & Tool Use

- Claude Opus 4.7: 47.9 (#8)
- GPT-4o: 20.8 (#133)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| LMArena Search | 1233 | 1006 |
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| τ²-bench Banking | 40.2% | — |
| Cybench | — | 12.5% |
| PostTrainBench | 28.6% | — |
| BALROG | — | 32.3% |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| METR Time Horizons | — | 40.8% |
| Vending-Bench 2 | 10,937 | — |

## Reasoning

- Claude Opus 4.7: 53.7 (#24)
- GPT-4o: 9.4 (#338)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 75.8% | 0% |
| SimpleBench | 61.7% | 17.8% |
| ARC-AGI-1 | 93.5% | 4.5% |
| CritPt | 12% | 0% |
| Chess Puzzles | 30% | 13% |
| LMArena Hard Prompts | 1507 | 1281 |
| DTBench | 94.7% | 64.5% |
| LMCA | 52.2% | 16.6% |
| Epoch Capabilities Index | 156.39 | 128.97 |
| ForecastBench | 60.3 | 57.7 |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| EnigmaEval | — | 0.8% |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| LiveBench Reasoning | — | 55.8% |
| Mystery Game Puzzles | 28% | — |
| LiveBench Data Analysis | — | 60.9% |
| LiveBench | — | 55.3% |

## Math

- Claude Opus 4.7: 66.5 (#20)
- GPT-4o: 10.2 (#303)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| FrontierMath (Tiers 1-3) | 70.2% | 0.4% |
| OTIS Mock AIME 2024-2025 | 97.8% | 6.4% |
| LMArena Math | 1499 | 1285 |
| FrontierMath (Feb 2025 set) | 43.8% | 0.3% |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| ProofBench | 54% | — |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath Tier 4 (v1) | 22.9% | — |

## Knowledge

- Claude Opus 4.7: 62.6 (#20)
- GPT-4o: 28.8 (#235)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| GPQA Diamond | 90.2% | 49.2% |
| Humanity's Last Exam | 36.2% | 2.7% |
| SimpleQA Verified | 51.7% | 26% |
| Vectara Hallucination Rate | 12% | 9.6% |
| LMArena Expert | 1521 | 1250 |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| GPQA (HELM) | — | 52% |
| MMLU | — | 88.1% |

## Multimodal

- Claude Opus 4.7: 41.5 (#29)
- GPT-4o: 33.9 (#85)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| LMArena Vision | 1317 | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
| ScienceQA | — | 88.5% |

## Multilingual

- Claude Opus 4.7: 57.5 (#9)
- GPT-4o: 43.4 (#181)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| LMArena Non-English | 1481 | 1283 |
| LMArena Chinese | 1530 | 1277 |
| LMArena French | 1505 | 1303 |
| LMArena German | 1494 | 1282 |
| LMArena Japanese | 1472 | 1257 |
| LMArena Korean | 1466 | 1234 |
| LMArena Russian | 1494 | 1286 |
| LMArena Spanish | 1497 | 1292 |

## Instruction Following

- Claude Opus 4.7: 78.6 (#9)
- GPT-4o: 66.8 (#202)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| LMArena Instruction Following | 1498 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |

## Long Context

- Claude Opus 4.7: 46.1 (#24)
- GPT-4o: 39.4 (#174)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1505 | 1289 |
| Fiction.LiveBench | — | 66.7% |

## Writing & Preference

- Claude Opus 4.7: 75.3 (#8)
- GPT-4o: 52.8 (#160)

| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| LMArena Text | 1491 | 1300 |
| LMArena Creative Writing | 1486 | 1291 |
| LMArena Multi-Turn | 1506 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 1914 | — |
| WildBench | — | 82.8% |
| EQ-Bench 4 | 1311 | — |
| LiveBench Language | — | 47.6% |

## FAQ

### Is Claude Opus 4.7 better than GPT-4o?

Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 28.5 on the Noometry Index. GPT-4o costs 2.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.7 or GPT-4o?

GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

### Is Claude Opus 4.7 or GPT-4o better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.9 versus 25.1 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 128K.

### How many benchmarks do Claude Opus 4.7 and GPT-4o share?

38 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and GPT-4o has 72.