# GPT-6 Sol vs Qwen3 32B

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 38.8 on the Noometry Index. Qwen3 32B costs 3.3× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-qwen3-32b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 7 categories and Qwen3 32B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 19.6.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 49.2 | 38.8 |
| Rank | 46 | 166 |
| Context | 1.05M | 131K |
| Input $/M | $2 | $0.70 |
| Output $/M | $10 | $2.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Qwen3 32B: 37.3 (#184)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1453 | 1358 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1692 | — |
| SciCode | — | 35.4% |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Qwen3 32B: 32.3 (#58)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Qwen3 32B: 19.6 (#233)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1335 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 90.1% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| EBR-Bench | 53.3% | — |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |

## Math

- GPT-6 Sol: 35.8 (#135)
- Qwen3 32B: 37.9 (#89)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Math | 1404 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Qwen3 32B: 40.0 (#112)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| Vectara Hallucination Rate | 6.5% | 5.9% |
| LMArena Expert | 1449 | 1362 |
| GPQA Diamond | — | 65.7% |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Qwen3 32B: —

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| Furniture Assembly | 58.3% | — |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Qwen3 32B: 45.8 (#162)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1389 | 1317 |
| LMArena Chinese | 1416 | 1357 |
| LMArena Russian | 1407 | 1311 |
| LMArena German | — | 1341 |
| LMArena Spanish | 1377 | — |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Qwen3 32B: 69.1 (#174)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1305 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Qwen3 32B: 43.7 (#83)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1415 | 1327 |
| Fiction.LiveBench | — | 74.2% |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Qwen3 32B: 53.1 (#158)

| Benchmark | GPT-6 Sol | Qwen3 32B |
|---|---|---|
| LMArena Text | 1396 | 1340 |
| LMArena Creative Writing | 1392 | 1297 |
| LMArena Multi-Turn | 1405 | 1331 |
| EQ-Bench Creative Writing | 2125 | — |

## FAQ

### Is GPT-6 Sol better than Qwen3 32B?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 38.8 on the Noometry Index. Qwen3 32B costs 3.3× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

### Which is cheaper, GPT-6 Sol or Qwen3 32B?

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GPT-6 Sol or Qwen3 32B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 37.3 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 131K.

### How many benchmarks do GPT-6 Sol and Qwen3 32B share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Qwen3 32B has 26.