# o3-pro vs Qwen3.7 Max

> Qwen3.7 Max is the stronger model overall, scoring 51.5 to 42.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/o3-pro-vs-qwen3-7-max
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. o3-pro scores higher in 2 categories and Qwen3.7 Max in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 29.5.
- The biggest single-benchmark swing is LMCA: 38.5% for o3-pro and 44% for Qwen3.7 Max.
- Qwen3.7 Max is cheaper at $2.50 / $7.50 per million input/output tokens, against $20 / $80 for o3-pro.
- Qwen3.7 Max accepts more context: 1M tokens versus 200K.

## Snapshot

| | o3-pro | Qwen3.7 Max |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.9 | 51.5 |
| Rank | 105 | 42 |
| Context | 200K | 1M |
| Input $/M | $20 | $2.50 |
| Output $/M | $80 | $7.50 |
| Weights | Proprietary | Proprietary |

## Coding

- o3-pro: 55.5 (#24)
- Qwen3.7 Max: 50.4 (#45)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| Aider Polyglot | 84.9% | — |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1498 |
| ALE-Bench | — | 1,189 |

## Agentic & Tool Use

- o3-pro: —
- Qwen3.7 Max: 22.1 (#135)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |

## Reasoning

- o3-pro: 23.8 (#171)
- Qwen3.7 Max: 49.2 (#38)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| DTBench | 86.9% | 92.3% |
| LMCA | 38.5% | 44% |
| Epoch Capabilities Index | 147.42 | 153.68 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | — | 70.4% |
| Kagi LLM Benchmark | 72.1% | — |
| NYT Connections (extended) | — | 85.1% |
| ARC-AGI-1 | 59.3% | — |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |

## Math

- o3-pro: —
- Qwen3.7 Max: 62.4 (#32)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LMArena Math | — | 1490 |

## Knowledge

- o3-pro: 29.5 (#238)
- Qwen3.7 Max: 61.6 (#28)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 23.3% | — |
| LMArena Expert | — | 1488 |

## Multilingual

- o3-pro: —
- Qwen3.7 Max: 56.9 (#15)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |

## Instruction Following

- o3-pro: —
- Qwen3.7 Max: 76.7 (#38)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |

## Long Context

- o3-pro: 72.2 (#1)
- Qwen3.7 Max: 45.4 (#40)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| Fiction.LiveBench | 97.2% | — |
| LMArena Longer Query | — | 1482 |

## Writing & Preference

- o3-pro: 57.1 (#133)
- Qwen3.7 Max: 65.0 (#54)

| Benchmark | o3-pro | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| Short-Story Creative Writing | 84.4% | — |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |

## FAQ

### Is o3-pro better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 42.9 on the Noometry Index.

### Which is cheaper, o3-pro or Qwen3.7 Max?

Qwen3.7 Max is cheaper. It lists at $2.50 per million input tokens and $7.50 per million output tokens; o3-pro lists at $20 and $80.

### Is o3-pro or Qwen3.7 Max better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 50.4 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 200K.

### How many benchmarks do o3-pro and Qwen3.7 Max share?

3 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3.7 Max has 33.