# DeepSeek-R1-Distill-Qwen-32B vs GPT-6.1 Sol

> GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 35.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-r1-distill-qwen-32b-vs-gpt-6-1-sol
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-32B scores higher in 0 categories and GPT-6.1 Sol in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 18.2.
- The biggest single-benchmark swing is Chess Puzzles: 1% for DeepSeek-R1-Distill-Qwen-32B and 61% for GPT-6.1 Sol.
- DeepSeek-R1-Distill-Qwen-32B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.5 | 65.6 |
| Rank | 226 | 6 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212)
- GPT-6.1 Sol: 63.2 (#8)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
| BigCodeBench Instruct | 43.9% | — |
| LiveBench Coding | 33.7% | — |
| LMArena Coding | — | 1487 |
| BigCodeBench Complete | 54.9% | — |

## Agentic & Tool Use

- DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94)
- GPT-6.1 Sol: 39.6 (#26)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| BALROG | 19.5% | — |
| GDP.pdf | — | 32% |

## Reasoning

- DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284)
- GPT-6.1 Sol: 81.9 (#2)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| Chess Puzzles | 1% | 61% |
| Epoch Capabilities Index | 137.44 | 166.09 |
| ARC-AGI-2 | — | 94.2% |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| EBR-Bench | — | 54.3% |
| LiveBench Reasoning | 52.3% | — |
| LMArena Hard Prompts | — | 1466 |
| Mystery Game Puzzles | — | 80% |
| LiveBench Data Analysis | 45.4% | — |
| LiveBench | 45.5% | — |

## Math

- DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194)
- GPT-6.1 Sol: 93.7 (#1)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | 100% |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| ProofBench | — | 99% |
| LiveBench Math | 59.4% | — |
| LMArena Math | — | 1464 |

## Knowledge

- DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182)
- GPT-6.1 Sol: 71.8 (#4)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 64.1% | 95.4% |
| SimpleQA Verified | — | 73.9% |
| LMArena Expert | — | 1502 |

## Multimodal

- DeepSeek-R1-Distill-Qwen-32B: —
- GPT-6.1 Sol: 52.7 (#5)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | — | 1288 |
| Furniture Assembly | — | 80% |

## Multilingual

- DeepSeek-R1-Distill-Qwen-32B: —
- GPT-6.1 Sol: 54.3 (#46)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | — | 1438 |
| LMArena Chinese | — | 1477 |
| LMArena Russian | — | 1455 |

## Instruction Following

- DeepSeek-R1-Distill-Qwen-32B: 61.6 (#243)
- GPT-6.1 Sol: 77.0 (#29)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| LiveBench Instruction Following | 55.7% | — |
| LMArena Instruction Following | — | 1468 |

## Long Context

- DeepSeek-R1-Distill-Qwen-32B: —
- GPT-6.1 Sol: 44.9 (#54)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | — | 1465 |

## Writing & Preference

- DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188)
- GPT-6.1 Sol: 63.6 (#63)

| Benchmark | DeepSeek-R1-Distill-Qwen-32B | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | — | 1447 |
| LMArena Creative Writing | — | 1432 |
| LMArena Multi-Turn | — | 1449 |
| LiveBench Language | 26.8% | — |

## FAQ

### Is DeepSeek-R1-Distill-Qwen-32B better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 35.5 on the Noometry Index.

### Is DeepSeek-R1-Distill-Qwen-32B or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.1 in the Noometry coding category.

### How many benchmarks do DeepSeek-R1-Distill-Qwen-32B and GPT-6.1 Sol share?

4 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-32B has 14 scored results on Noometry and GPT-6.1 Sol has 34.