# o1-pro vs Qwen3.5 397B-A17B

> Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/o1-pro-vs-qwen3-5-397b-a17b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 29.7.
- Qwen3.5 397B-A17B is cheaper at $0.60 / $3.60 per million input/output tokens, against $150 / $600 for o1-pro.
- Qwen3.5 397B-A17B accepts more context: 262K tokens versus 200K.
- Qwen3.5 397B-A17B has downloadable open weights; the other is API-only.

## Snapshot

| | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 46.0 |
| Rank | 271 | 67 |
| Context | 200K | 262K |
| Input $/M | $150 | $0.60 |
| Output $/M | $600 | $3.60 |
| Weights | Proprietary | Open |

## Coding

- o1-pro: —
- Qwen3.5 397B-A17B: 42.0 (#114)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena WebDev | — | 1400 |
| LMArena Coding | — | 1465 |

## Agentic & Tool Use

- o1-pro: —
- Qwen3.5 397B-A17B: 33.3 (#53)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |

## Reasoning

- o1-pro: 20.4 (#239)
- Qwen3.5 397B-A17B: 34.5 (#70)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| ARC-AGI-1 | 23.3% | — |
| Chess Puzzles | — | 13% |
| EnigmaEval | 6.1% | — |
| Thematic Generalization | — | 65.1% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| Epoch Capabilities Index | — | 146.65 |

## Math

- o1-pro: —
- Qwen3.5 397B-A17B: 46.1 (#73)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| LMArena Math | — | 1454 |

## Knowledge

- o1-pro: 29.7 (#234)
- Qwen3.5 397B-A17B: 53.3 (#58)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | — | 86.4% |
| Humanity's Last Exam | 8.1% | — |
| LMArena Expert | — | 1462 |

## Multimodal

- o1-pro: —
- Qwen3.5 397B-A17B: 40.7 (#44)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1263 |

## Multilingual

- o1-pro: —
- Qwen3.5 397B-A17B: 53.7 (#59)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1500 |
| LMArena French | — | 1461 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1426 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1429 |
| LMArena Spanish | — | 1441 |

## Instruction Following

- o1-pro: —
- Qwen3.5 397B-A17B: 75.0 (#77)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | — | 1424 |

## Long Context

- o1-pro: —
- Qwen3.5 397B-A17B: 44.1 (#74)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | — | 1442 |

## Writing & Preference

- o1-pro: —
- Qwen3.5 397B-A17B: 62.3 (#79)

| Benchmark | o1-pro | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | — | 1438 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1478 |
| LMArena Multi-Turn | — | 1446 |

## FAQ

### Is o1-pro better than Qwen3.5 397B-A17B?

Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 31.5 on the Noometry Index.

### Which is cheaper, o1-pro or Qwen3.5 397B-A17B?

Qwen3.5 397B-A17B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

Qwen3.5 397B-A17B does, with 262K tokens against 200K.

### How many benchmarks do o1-pro and Qwen3.5 397B-A17B share?

0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3.5 397B-A17B has 36.