Model comparison

o1-pro vs Qwen3.5 397B-A17B

Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 31.2 on the Noometry Index.

Last verified . 0 shared benchmarks.

o1-pro OpenAI

31.2

Rank #264 Reported

Qwen3.5 397B-A17B Alibaba (Qwen)

45.7

Rank #60 Confirmed

Summary

  • The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 29.3.
  • 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.

Side by side

o1-pro and Qwen3.5 397B-A17B specifications
o1-proQwen3.5 397B-A17B
ProviderOpenAIAlibaba (Qwen)
Noometry Index31.245.7
Released2025-03-192026-02-01
WeightsProprietaryOpen
Context window200K262K
Max output100K66K
Input $ / M tokens$150$0.60
Output $ / M tokens$600$3.60
Results tracked336

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Category by category

Coding Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 41.7 (#108)

Coding benchmarks
Benchmarko1-proQwen3.5 397B-A17B
LMArena WebDev—1400
LMArena Coding—1464

Agentic & Tool Use Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 33.2 (#51)

Agentic & Tool Use benchmarks
Benchmarko1-proQwen3.5 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 Qwen3.5 397B-A17B leads

o1-pro: 20.2 (#223), Qwen3.5 397B-A17B: 33.6 (#62)

Reasoning benchmarks
Benchmarko1-proQwen3.5 397B-A17B
Kagi LLM Benchmark—73.7%
NYT Connections (extended)—58.9%
ARC-AGI-123.3%—
Chess Puzzles—13%
EnigmaEval6.1%—
Thematic Generalization—65.1%
LMArena Hard Prompts—1448
Mystery Game Puzzles—18%
DTBench—87.5%
LMCA—37.9%
Epoch Capabilities Index—146.64

Math Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 44.9 (#64)

Math benchmarks
Benchmarko1-proQwen3.5 397B-A17B
FrontierMath (Tiers 1-3)—31.2%
OTIS Mock AIME 2024-2025—88.9%
LMArena Math—1455

Knowledge Qwen3.5 397B-A17B leads

o1-pro: 29.3 (#227), Qwen3.5 397B-A17B: 53.3 (#53)

Knowledge benchmarks
Benchmarko1-proQwen3.5 397B-A17B
GPQA Diamond—86.4%
Humanity's Last Exam8.1%—
LMArena Expert—1461

Multimodal Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 40.0 (#42)

Multimodal benchmarks
Benchmarko1-proQwen3.5 397B-A17B
LMArena Vision—1262

Multilingual Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 54.0 (#56)

Multilingual benchmarks
Benchmarko1-proQwen3.5 397B-A17B
LMArena Non-English—1431
LMArena Chinese—1501
LMArena French—1461
LMArena German—1447
LMArena Japanese—1427
LMArena Korean—1382
LMArena Russian—1429
LMArena Spanish—1443

Instruction Following Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 75.2 (#73)

Instruction Following benchmarks
Benchmarko1-proQwen3.5 397B-A17B
LMArena Instruction Following—1424

Long Context Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 44.1 (#71)

Long Context benchmarks
Benchmarko1-proQwen3.5 397B-A17B
LMArena Longer Query—1442

Writing & Preference Not comparable

o1-pro: —, Qwen3.5 397B-A17B: 62.5 (#74)

Writing & Preference benchmarks
Benchmarko1-proQwen3.5 397B-A17B
LMArena Text—1438
LMArena Creative Writing—1401
EQ-Bench Creative Writing—1478
LMArena Multi-Turn—1447

Frequently asked questions

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

Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 31.2 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.

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