Model comparison

Hy3 vs Llama 3.2 3B

Hy3 is the stronger model overall, scoring 44.2 to 28.9 on the Noometry Index.

Last verified October 10, 2026. 13 shared benchmarks.

Hy3

Tencent

44.2

Rank #79 Confirmed

Llama 3.2 3B

Summary

They share 13 benchmarks with published results for both. Hy3 scores higher in 8 categories and Llama 3.2 3B in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Hy3 leads 62.2 to 24.7.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.0825 / $0.33 for Hy3.
Hy3 accepts more context: 262K tokens versus 131K.

Side by side

Hy3 and Llama 3.2 3B specifications
	Hy3	Llama 3.2 3B
Provider	Tencent	Meta
Noometry Index	44.2	28.9
Released	2026-07-06	2024-09-24
Weights	Open	Open
Context window	262K	131K
Max output	128K	118K
Input $ / M tokens	$0.0825	$0.05
Output $ / M tokens	$0.33	$0.33
Results tracked	19	18

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Category by category

Coding Hy3 leads

Hy3: 46.8 (#63), Llama 3.2 3B: 27.6 (#319)

Coding benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Coding	1464	1098
LMArena WebDev	1508	—
BigCodeBench Instruct	—	23.4%
BigCodeBench Complete	—	28.3%

Agentic & Tool Use Not comparable

Hy3: —, Llama 3.2 3B: 20.1 (#143)

Agentic & Tool Use benchmarks
Benchmark	Hy3	Llama 3.2 3B
Berkeley Function Calling Leaderboard	—	21.9%
BALROG	—	10.1%

Reasoning Hy3 leads

Hy3: 26.1 (#136), Llama 3.2 3B: 21.0 (#228)

Reasoning benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Hard Prompts	1447	1095
NYT Connections (extended)	41.2%	—

Math Hy3 leads

Hy3: 40.1 (#93), Llama 3.2 3B: 32.4 (#214)

Math benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Math	1475	1126

Knowledge Hy3 leads

Hy3: 40.8 (#114), Llama 3.2 3B: 29.7 (#235)

Knowledge benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Expert	1460	1090

Multilingual Hy3 leads

Hy3: 53.5 (#65), Llama 3.2 3B: 26.2 (#281)

Multilingual benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Non-English	1426	1019
LMArena Chinese	1493	1017
LMArena German	1439	1056
LMArena Russian	1432	949
LMArena French	1461	—
LMArena Japanese	1392	—
LMArena Korean	1395	—
LMArena Spanish	1456	—

Instruction Following Hy3 leads

Hy3: 75.1 (#70), Llama 3.2 3B: 56.0 (#275)

Instruction Following benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Instruction Following	1426	1089

Long Context Hy3 leads

Hy3: 44.1 (#75), Llama 3.2 3B: 33.4 (#261)

Long Context benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Longer Query	1442	1100

Writing & Preference Hy3 leads

Hy3: 62.2 (#81), Llama 3.2 3B: 24.7 (#307)

Writing & Preference benchmarks
Benchmark	Hy3	Llama 3.2 3B
LMArena Text	1439	1110
LMArena Creative Writing	1402	1094
LMArena Multi-Turn	1436	1105
EQ-Bench Creative Writing	—	595

Frequently asked questions

Is Hy3 better than Llama 3.2 3B?

Hy3 is the stronger model overall, scoring 44.2 to 28.9 on the Noometry Index.

Which is cheaper, Hy3 or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Hy3 lists at $0.0825 and $0.33.

Is Hy3 or Llama 3.2 3B better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 131K.

How many benchmarks do Hy3 and Llama 3.2 3B share?

13 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Llama 3.2 3B has 18.