Model comparison

Hy3 vs Qwen3.5 122B-A10B

Hy3 is the stronger model overall, scoring 44.2 to 42.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

Hy3 Tencent

44.2

Rank #79 Confirmed

Qwen3.5 122B-A10B Alibaba (Qwen)

42.1

Rank #119 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Hy3 scores higher in 7 categories and Qwen3.5 122B-A10B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Hy3 leads 46.8 to 39.1.
  • The biggest single-benchmark swing is NYT Connections (extended): 41.2% for Hy3 and 51.7% for Qwen3.5 122B-A10B.
  • Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.40 / $3.20 for Qwen3.5 122B-A10B.

Side by side

Hy3 and Qwen3.5 122B-A10B specifications
Hy3Qwen3.5 122B-A10B
ProviderTencentAlibaba (Qwen)
Noometry Index44.242.1
Released2026-07-062026-02-23
WeightsOpenOpen
Context window262K262K
Max output128K66K
Input $ / M tokens$0.0825$0.40
Output $ / M tokens$0.33$3.20
Results tracked1927

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Category by category

Coding Hy3 leads

Hy3: 46.8 (#63), Qwen3.5 122B-A10B: 39.1 (#162)

Coding benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena WebDev15081360
LMArena Coding14641436
SciCode—35.6%

Reasoning Qwen3.5 122B-A10B leads

Hy3: 26.1 (#136), Qwen3.5 122B-A10B: 27.2 (#123)

Reasoning benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
NYT Connections (extended)41.2%51.7%
LMArena Hard Prompts14471421
CritPt—0.9%
Thematic Generalization—51.2%
Mystery Game Puzzles—17%
DTBench—84.3%
LMCA—32.2%

Math Too close to call

Hy3: 40.1 (#93), Qwen3.5 122B-A10B: 39.1 (#112)

Math benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Math14751432

Knowledge Hy3 leads

Hy3: 40.8 (#114), Qwen3.5 122B-A10B: 38.8 (#142)

Knowledge benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Expert14601432
Vectara Hallucination Rate—11.2%

Multimodal Not comparable

Hy3: —, Qwen3.5 122B-A10B: 39.6 (#57)

Multimodal benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Vision—1245

Multilingual Hy3 leads

Hy3: 53.5 (#65), Qwen3.5 122B-A10B: 51.6 (#107)

Multilingual benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Non-English14261400
LMArena Chinese14931462
LMArena French14611442
LMArena German14391426
LMArena Japanese13921367
LMArena Korean13951352
LMArena Russian14321400
LMArena Spanish14561424

Instruction Following Hy3 leads

Hy3: 75.1 (#70), Qwen3.5 122B-A10B: 73.8 (#115)

Instruction Following benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Instruction Following14261399

Long Context Hy3 leads

Hy3: 44.1 (#75), Qwen3.5 122B-A10B: 43.0 (#109)

Long Context benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Longer Query14421410

Writing & Preference Hy3 leads

Hy3: 62.2 (#81), Qwen3.5 122B-A10B: 60.0 (#105)

Writing & Preference benchmarks
BenchmarkHy3Qwen3.5 122B-A10B
LMArena Text14391417
LMArena Creative Writing14021368
LMArena Multi-Turn14361416

Frequently asked questions

Is Hy3 better than Qwen3.5 122B-A10B?

Hy3 is the stronger model overall, scoring 44.2 to 42.1 on the Noometry Index.

Which is cheaper, Hy3 or Qwen3.5 122B-A10B?

Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Qwen3.5 122B-A10B lists at $0.40 and $3.20.

Is Hy3 or Qwen3.5 122B-A10B better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Hy3 and Qwen3.5 122B-A10B share?

19 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Qwen3.5 122B-A10B has 27.

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