Model comparison

Hy3 vs Qwen3-30B-A3B

Hy3 is the stronger model overall, scoring 44.2 to 38.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Hy3 Tencent

44.2

Rank #79 Confirmed

Qwen3-30B-A3B Alibaba (Qwen)

38.9

Rank #179 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Hy3 scores higher in 7 categories and Qwen3-30B-A3B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Hy3 leads 44.1 to 31.0.
  • Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.12 / $0.50 for Qwen3-30B-A3B.
  • Hy3 accepts more context: 262K tokens versus 41K.

Side by side

Hy3 and Qwen3-30B-A3B specifications
Hy3Qwen3-30B-A3B
ProviderTencentAlibaba (Qwen)
Noometry Index44.238.9
Released2026-07-062025-04-28
WeightsOpenOpen
Context window262K41K
Max output128K16K
Input $ / M tokens$0.0825$0.12
Output $ / M tokens$0.33$0.50
Results tracked1932

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Category by category

Coding Hy3 leads

Hy3: 46.8 (#63), Qwen3-30B-A3B: 37.5 (#194)

Coding benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Coding14641416
LMArena WebDev1508—
SciCode—33.3%
WeirdML—29.8%

Agentic & Tool Use Not comparable

Hy3: —, Qwen3-30B-A3B: 29.8 (#82)

Agentic & Tool Use benchmarks
BenchmarkHy3Qwen3-30B-A3B
Berkeley Function Calling Leaderboard—41.4%

Reasoning Hy3 leads

Hy3: 26.1 (#136), Qwen3-30B-A3B: 22.2 (#204)

Reasoning benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Hard Prompts14471398
Kagi LLM Benchmark—54.9%
NYT Connections (extended)41.2%—
CritPt—0.3%
Chess Puzzles—8%
DTBench—69.3%
LMCA—22.4%
Epoch Capabilities Index—139.63

Math Hy3 leads

Hy3: 40.1 (#93), Qwen3-30B-A3B: 37.4 (#157)

Math benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Math14751394
MathArena Final-Answer Competitions—47.8%
OTIS Mock AIME 2024-2025—70.3%

Knowledge Too close to call

Hy3: 40.8 (#114), Qwen3-30B-A3B: 41.8 (#105)

Knowledge benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Expert14601396
GPQA Diamond—70.1%
Confabulations—12.3%

Multilingual Hy3 leads

Hy3: 53.5 (#65), Qwen3-30B-A3B: 49.5 (#132)

Multilingual benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Non-English14261372
LMArena Chinese14931433
LMArena French14611418
LMArena German14391380
LMArena Japanese13921337
LMArena Korean13951331
LMArena Russian14321370
LMArena Spanish14561404

Instruction Following Hy3 leads

Hy3: 75.1 (#70), Qwen3-30B-A3B: 72.0 (#142)

Instruction Following benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Instruction Following14261363

Long Context Hy3 leads

Hy3: 44.1 (#75), Qwen3-30B-A3B: 31.0 (#283)

Long Context benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Longer Query14421379
Fiction.LiveBench—40.6%

Writing & Preference Hy3 leads

Hy3: 62.2 (#81), Qwen3-30B-A3B: 55.6 (#143)

Writing & Preference benchmarks
BenchmarkHy3Qwen3-30B-A3B
LMArena Text14391384
LMArena Creative Writing14021317
LMArena Multi-Turn14361378
Short-Story Creative Writing—75.3%

Frequently asked questions

Is Hy3 better than Qwen3-30B-A3B?

Hy3 is the stronger model overall, scoring 44.2 to 38.9 on the Noometry Index.

Which is cheaper, Hy3 or Qwen3-30B-A3B?

Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Qwen3-30B-A3B lists at $0.12 and $0.50.

Is Hy3 or Qwen3-30B-A3B better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 37.5 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 41K.

How many benchmarks do Hy3 and Qwen3-30B-A3B share?

17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Qwen3-30B-A3B has 32.

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