# GPT-6.1 Sol vs Qwen2-72B

> GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 30.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-qwen2-72b
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Qwen2-72B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 30.2.
- The biggest single-benchmark swing is GPQA Diamond: 95.4% for GPT-6.1 Sol and 40.8% for Qwen2-72B.
- Qwen2-72B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 65.6 | 30.0 |
| Rank | 6 | 300 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 63.2 (#8)
- Qwen2-72B: 29.1 (#310)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1487 | 1196 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |

## Agentic & Tool Use

- GPT-6.1 Sol: 39.6 (#26)
- Qwen2-72B: 17.0 (#146)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| APEX-Agents | 60% | — |
| TheAgentCompany | — | 1.1% |
| GDP.pdf | 32% | — |
| METR Time Horizons | — | 29.9% |

## Reasoning

- GPT-6.1 Sol: 81.9 (#2)
- Qwen2-72B: 23.2 (#181)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1466 | 1191 |
| Epoch Capabilities Index | 166.09 | 125.28 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |

## Math

- GPT-6.1 Sol: 93.7 (#1)
- Qwen2-72B: 30.2 (#236)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Math | 1464 | 1235 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| MATH Level 5 | — | 39.1% |

## Knowledge

- GPT-6.1 Sol: 71.8 (#4)
- Qwen2-72B: 21.2 (#275)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| GPQA Diamond | 95.4% | 40.8% |
| LMArena Expert | 1502 | 1171 |
| SimpleQA Verified | 73.9% | — |
| MMLU | — | 82.4% |

## Multimodal

- GPT-6.1 Sol: 52.7 (#5)
- Qwen2-72B: —

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |

## Multilingual

- GPT-6.1 Sol: 54.3 (#46)
- Qwen2-72B: 35.9 (#244)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1438 | 1176 |
| LMArena Chinese | 1477 | 1240 |
| LMArena Russian | 1455 | 1169 |
| LMArena French | — | 1170 |
| LMArena German | — | 1151 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
| LMArena Spanish | — | 1169 |

## Instruction Following

- GPT-6.1 Sol: 77.0 (#29)
- Qwen2-72B: 61.7 (#241)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1468 | 1181 |

## Long Context

- GPT-6.1 Sol: 44.9 (#54)
- Qwen2-72B: 36.1 (#235)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1465 | 1192 |

## Writing & Preference

- GPT-6.1 Sol: 63.6 (#63)
- Qwen2-72B: 40.8 (#241)

| Benchmark | GPT-6.1 Sol | Qwen2-72B |
|---|---|---|
| LMArena Text | 1447 | 1203 |
| LMArena Creative Writing | 1432 | 1181 |
| LMArena Multi-Turn | 1449 | 1196 |

## FAQ

### Is GPT-6.1 Sol better than Qwen2-72B?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 30.0 on the Noometry Index.

### Is GPT-6.1 Sol or Qwen2-72B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 29.1 in the Noometry coding category.

### How many benchmarks do GPT-6.1 Sol and Qwen2-72B share?

14 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Qwen2-72B has 26.
