# Claude Opus 4.1 vs GPT-5.5 Pro

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 41.0 on the Noometry Index. Claude Opus 4.1 costs 2.3× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-1-vs-gpt-5-5-pro
- Last updated: 2026-10-12
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Claude Opus 4.1 scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 22.3.
- The biggest single-benchmark swing is FrontierMath Tier 4: 2.4% for Claude Opus 4.1 and 78% for GPT-5.5 Pro.
- Claude Opus 4.1 is cheaper at $15 / $75 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 41.0 | 64.3 |
| Rank | 142 | 8 |
| Context | 200K | 1.05M |
| Input $/M | $15 | $30 |
| Output $/M | $75 | $180 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Opus 4.1: 44.4 (#73)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| SWE-bench Verified | 73.3% | — |
| LMArena WebDev | 1390 | — |
| WeirdML | 45.9% | — |
| LMArena Coding | 1479 | — |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |

## Agentic & Tool Use

- Claude Opus 4.1: 35.0 (#41)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| Terminal-Bench | 38% | — |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |

## Reasoning

- Claude Opus 4.1: 32.2 (#76)
- GPT-5.5 Pro: 73.3 (#10)

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| SimpleBench | 60% | 76.9% |
| Chess Puzzles | 7% | 64% |
| DTBench | 80% | 96% |
| LMCA | 37.1% | 53.9% |
| Epoch Capabilities Index | 144.12 | 162.07 |
| ARC-AGI-2 | — | 84.6% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| LMArena Hard Prompts | 1443 | — |
| Mystery Game Puzzles | 21% | — |
| ForecastBench | 62 | — |

## Math

- Claude Opus 4.1: 22.3 (#277)
- GPT-5.5 Pro: 84.0 (#10)

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 12.6% | 87.7% |
| FrontierMath Tier 4 | 2.4% | 78% |
| OTIS Mock AIME 2024-2025 | 68.9% | 100% |
| FrontierMath (Feb 2025 set) | 7.2% | 52.4% |
| FrontierMath Tier 4 (v1) | 4.2% | 39.6% |
| LMArena Math | 1431 | — |

## Knowledge

- Claude Opus 4.1: 42.0 (#101)
- GPT-5.5 Pro: 64.1 (#19)

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | 77.3% | 93.9% |
| Humanity's Last Exam | 11.5% | — |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
| LMArena Expert | 1439 | — |

## Multimodal

- Claude Opus 4.1: 26.8 (#119)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| VPCT | 35% | — |

## Multilingual

- Claude Opus 4.1: 52.0 (#95)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1405 | — |
| LMArena Chinese | 1427 | — |
| LMArena French | 1431 | — |
| LMArena German | 1413 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1422 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- Claude Opus 4.1: 75.6 (#58)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1435 | — |

## Long Context

- Claude Opus 4.1: 44.5 (#63)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1455 | — |

## Writing & Preference

- Claude Opus 4.1: 62.4 (#74)
- GPT-5.5 Pro: —

| Benchmark | Claude Opus 4.1 | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1419 | — |
| LMArena Creative Writing | 1412 | — |
| Short-Story Creative Writing | 84.7% | — |
| LMArena Multi-Turn | 1444 | — |

## FAQ

### Is Claude Opus 4.1 better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 41.0 on the Noometry Index. Claude Opus 4.1 costs 2.3× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.1 or GPT-5.5 Pro?

Claude Opus 4.1 is cheaper. It lists at $15 per million input tokens and $75 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 200K.

### How many benchmarks do Claude Opus 4.1 and GPT-5.5 Pro share?

11 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GPT-5.5 Pro has 14.