Noometry

Model comparison

Hy3 vs Qwen2.5 72B Instruct

Hy3 is the stronger model overall, scoring 44.2 to 31.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Hy3 Tencent

44.2

Rank #79 Confirmed

Qwen2.5 72B Instruct Alibaba (Qwen)

31.9

Rank #267 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Hy3 scores higher in 8 categories and Qwen2.5 72B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Hy3 leads 40.1 to 19.3.
  • Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
  • Hy3 accepts more context: 262K tokens versus 131K.

Side by side

Hy3Qwen2.5 72B Instruct
ProviderTencentAlibaba (Qwen)
Noometry Index44.231.9
Released2026-07-062024-09
WeightsOpenOpen
Context window262K131K
Max output128K8K
Input $ / M tokens$0.0825$1.40
Output $ / M tokens$0.33$5.60
Results tracked1943

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Category by category

Coding Hy3 leads

Hy3: 46.8 (#63), Qwen2.5 72B Instruct: 33.2 (#260)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Coding14641292
LMArena WebDev1508—
WeirdML—16%
BigCodeBench Instruct—45.8%
BigCodeBench Complete—55.9%

Agentic & Tool Use Not comparable

Hy3: —, Qwen2.5 72B Instruct: 22.1 (#133)

BenchmarkHy3Qwen2.5 72B Instruct
TheAgentCompany—5.7%
BALROG—16.2%
METR Time Horizons—35.8%

Reasoning Hy3 leads

Hy3: 26.1 (#136), Qwen2.5 72B Instruct: 22.3 (#199)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Hard Prompts14471271
NYT Connections (extended)41.2%—
DTBench—62.9%
LMCA—13.4%
BIG-Bench Hard—79.8%
Epoch Capabilities Index—129
ForecastBench—57.5
HellaSwag—84.8%
PIQA—82.6%
WinoGrande—82.3%

Math Hy3 leads

Hy3: 40.1 (#93), Qwen2.5 72B Instruct: 19.3 (#287)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Math14751283
OTIS Mock AIME 2024-2025—8.1%
Omni-MATH—33%
MATH Level 5—63.2%

Knowledge Hy3 leads

Hy3: 40.8 (#114), Qwen2.5 72B Instruct: 27.0 (#253)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Expert14601245
GPQA Diamond—49.1%
MMLU-Pro—63.1%
Confabulations—19.1%
GPQA (HELM)—42.6%
ARC (AI2) Challenge—94.5%
MMLU—85.3%
TriviaQA—71.9%

Multilingual Hy3 leads

Hy3: 53.5 (#65), Qwen2.5 72B Instruct: 41.0 (#213)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Non-English14261252
LMArena Chinese14931272
LMArena French14611280
LMArena German14391234
LMArena Japanese13921180
LMArena Korean13951188
LMArena Russian14321264
LMArena Spanish14561256

Instruction Following Hy3 leads

Hy3: 75.1 (#70), Qwen2.5 72B Instruct: 65.5 (#221)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Instruction Following14261254
IFEval—80.6%

Long Context Hy3 leads

Hy3: 44.1 (#75), Qwen2.5 72B Instruct: 38.9 (#188)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Longer Query14421282

Writing & Preference Hy3 leads

Hy3: 62.2 (#81), Qwen2.5 72B Instruct: 46.7 (#215)

BenchmarkHy3Qwen2.5 72B Instruct
LMArena Text14391269
LMArena Creative Writing14021221
LMArena Multi-Turn14361272
WildBench—80.2%

Frequently asked questions

Is Hy3 better than Qwen2.5 72B Instruct?

Hy3 is the stronger model overall, scoring 44.2 to 31.9 on the Noometry Index.

Which is cheaper, Hy3 or Qwen2.5 72B Instruct?

Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.

Is Hy3 or Qwen2.5 72B Instruct better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 33.2 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 131K.

How many benchmarks do Hy3 and Qwen2.5 72B Instruct share?

17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Qwen2.5 72B Instruct has 43.

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