Model comparison

Qwen Max vs Qwen3.5 122B-A10B

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 34.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

Qwen Max Alibaba (Qwen)

34.7

Rank #230 Confirmed

Qwen3.5 122B-A10B Alibaba (Qwen)

42.1

Rank #119 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Qwen Max scores higher in 0 categories and Qwen3.5 122B-A10B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5 122B-A10B leads 39.1 to 22.3.
  • Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
  • Qwen3.5 122B-A10B accepts more context: 262K tokens versus 33K.
  • Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.

Side by side

Qwen Max and Qwen3.5 122B-A10B specifications
Qwen MaxQwen3.5 122B-A10B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index34.742.1
Released2024-04-032026-02-23
WeightsProprietaryOpen
Context window33K262K
Max output8K66K
Input $ / M tokens$1.60$0.40
Output $ / M tokens$6.40$3.20
Results tracked2327

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Category by category

Coding Qwen3.5 122B-A10B leads

Qwen Max: 30.7 (#292), Qwen3.5 122B-A10B: 39.1 (#162)

Coding benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Coding12881436
Aider Polyglot21.8%—
LMArena WebDev—1360
SciCode—35.6%

Reasoning Qwen3.5 122B-A10B leads

Qwen Max: 25.1 (#151), Qwen3.5 122B-A10B: 27.2 (#123)

Reasoning benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Hard Prompts12691421
NYT Connections (extended)—51.7%
CritPt—0.9%
Thematic Generalization—51.2%
Mystery Game Puzzles—17%
DTBench—84.3%
LMCA—32.2%

Math Qwen3.5 122B-A10B leads

Qwen Max: 22.3 (#276), Qwen3.5 122B-A10B: 39.1 (#112)

Math benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Math12751432
OTIS Mock AIME 2024-202516.1%—
MATH Level 567.2%—
FrontierMath (Feb 2025 set)1%—

Knowledge Qwen3.5 122B-A10B leads

Qwen Max: 30.3 (#228), Qwen3.5 122B-A10B: 38.8 (#142)

Knowledge benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Expert12481432
GPQA Diamond56.1%—
Vectara Hallucination Rate—11.2%

Multimodal Not comparable

Qwen Max: —, Qwen3.5 122B-A10B: 39.6 (#57)

Multimodal benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Vision—1245

Multilingual Qwen3.5 122B-A10B leads

Qwen Max: 41.8 (#202), Qwen3.5 122B-A10B: 51.6 (#107)

Multilingual benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Non-English12631400
LMArena Chinese12541462
LMArena French13301442
LMArena German12541426
LMArena Japanese12051367
LMArena Korean11421352
LMArena Russian12741400
LMArena Spanish12901424

Instruction Following Qwen3.5 122B-A10B leads

Qwen Max: 66.5 (#208), Qwen3.5 122B-A10B: 73.8 (#115)

Instruction Following benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Instruction Following12621399

Long Context Qwen3.5 122B-A10B leads

Qwen Max: 39.4 (#180), Qwen3.5 122B-A10B: 43.0 (#109)

Long Context benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Longer Query12881410
Fiction.LiveBench66.7%—

Writing & Preference Qwen3.5 122B-A10B leads

Qwen Max: 47.8 (#205), Qwen3.5 122B-A10B: 60.0 (#105)

Writing & Preference benchmarks
BenchmarkQwen MaxQwen3.5 122B-A10B
LMArena Text12821417
LMArena Creative Writing12481368
LMArena Multi-Turn12771416

Frequently asked questions

Is Qwen Max better than Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 34.7 on the Noometry Index.

Which is cheaper, Qwen Max or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; Qwen Max lists at $1.60 and $6.40.

Is Qwen Max or Qwen3.5 122B-A10B better for coding?

Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 30.7 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5 122B-A10B does, with 262K tokens against 33K.

How many benchmarks do Qwen Max and Qwen3.5 122B-A10B share?

17 benchmarks have published results for both models. Qwen Max has 23 scored results on Noometry and Qwen3.5 122B-A10B has 27.

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