# Claude Opus 4.1 vs GPT-6.1 Sol

> GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 41.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-opus-4-1-vs-gpt-6-1-sol
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Claude Opus 4.1 scores higher in 0 categories and GPT-6.1 Sol in 10 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 22.3.
- The biggest single-benchmark swing is FrontierMath Tier 4: 2.4% for Claude Opus 4.1 and 100% for GPT-6.1 Sol.
- GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 41.0 | 65.6 |
| Rank | 142 | 6 |
| Context | 200K | 1.05M |
| Input $/M | $15 | $2 |
| Output $/M | $75 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Opus 4.1: 44.4 (#73)
- GPT-6.1 Sol: 63.2 (#8)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| LMArena WebDev | 1390 | 1755 |
| LMArena Coding | 1479 | 1487 |
| SWE-bench Verified | 73.3% | — |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| SciCode | — | 55.8% |
| WeirdML | 45.9% | — |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |

## Agentic & Tool Use

- Claude Opus 4.1: 35.0 (#41)
- GPT-6.1 Sol: 39.6 (#26)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| Terminal-Bench | 38% | — |
| APEX-Agents | — | 60% |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| GDP.pdf | — | 32% |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |

## Reasoning

- Claude Opus 4.1: 32.2 (#76)
- GPT-6.1 Sol: 81.9 (#2)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| Chess Puzzles | 7% | 61% |
| EBR-Bench | 7.9% | 54.3% |
| LMArena Hard Prompts | 1443 | 1466 |
| Mystery Game Puzzles | 21% | 80% |
| Epoch Capabilities Index | 144.12 | 166.09 |
| ARC-AGI-2 | — | 94.2% |
| SimpleBench | 60% | — |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| EnigmaEval | 7.2% | — |
| DTBench | 80% | — |
| LMCA | 37.1% | — |
| ForecastBench | 62 | — |

## Math

- Claude Opus 4.1: 22.3 (#277)
- GPT-6.1 Sol: 93.7 (#1)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 12.6% | 93.7% |
| FrontierMath Tier 4 | 2.4% | 100% |
| OTIS Mock AIME 2024-2025 | 68.9% | 100% |
| LMArena Math | 1431 | 1464 |
| ProofBench | — | 99% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Opus 4.1: 42.0 (#101)
- GPT-6.1 Sol: 71.8 (#4)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 77.3% | 95.4% |
| LMArena Expert | 1439 | 1502 |
| Humanity's Last Exam | 11.5% | — |
| SimpleQA Verified | — | 73.9% |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |

## Multimodal

- Claude Opus 4.1: 26.8 (#119)
- GPT-6.1 Sol: 52.7 (#5)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | — | 1288 |
| VPCT | 35% | — |
| Furniture Assembly | — | 80% |

## Multilingual

- Claude Opus 4.1: 52.0 (#95)
- GPT-6.1 Sol: 54.3 (#46)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1405 | 1438 |
| LMArena Chinese | 1427 | 1477 |
| LMArena Russian | 1422 | 1455 |
| LMArena French | 1431 | — |
| LMArena German | 1413 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1448 | — |

## Instruction Following

- Claude Opus 4.1: 75.6 (#58)
- GPT-6.1 Sol: 77.0 (#29)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1435 | 1468 |

## Long Context

- Claude Opus 4.1: 44.5 (#63)
- GPT-6.1 Sol: 44.9 (#54)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1455 | 1465 |

## Writing & Preference

- Claude Opus 4.1: 62.4 (#74)
- GPT-6.1 Sol: 63.6 (#63)

| Benchmark | Claude Opus 4.1 | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1419 | 1447 |
| LMArena Creative Writing | 1412 | 1432 |
| LMArena Multi-Turn | 1444 | 1449 |
| Short-Story Creative Writing | 84.7% | — |

## FAQ

### Is Claude Opus 4.1 better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 41.0 on the Noometry Index.

### Which is cheaper, Claude Opus 4.1 or GPT-6.1 Sol?

GPT-6.1 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Claude Opus 4.1 lists at $15 and $75.

### Is Claude Opus 4.1 or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 44.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 200K.

### How many benchmarks do Claude Opus 4.1 and GPT-6.1 Sol share?

21 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GPT-6.1 Sol has 34.