Model comparison

gpt-oss-20b vs Hy3

Hy3 is the stronger model overall, scoring 44.2 to 32.5 on the Noometry Index. gpt-oss-20b costs 4.0× less per token, which makes it the better buy when Hy3's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

gpt-oss-20b OpenAI

32.5

Rank #255 Confirmed

Hy3 Tencent

44.2

Rank #79 Confirmed

Summary

  • They share 16 benchmarks with published results for both. gpt-oss-20b scores higher in 0 categories and Hy3 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Hy3 leads 62.2 to 35.5.
  • gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.0825 / $0.33 for Hy3.
  • Hy3 accepts more context: 262K tokens versus 131K.

Side by side

gpt-oss-20b and Hy3 specifications
gpt-oss-20bHy3
ProviderOpenAITencent
Noometry Index32.544.2
Released2025-08-052026-07-06
WeightsOpenOpen
Context window131K262K
Max output16K128K
Input $ / M tokens$0.018$0.0825
Output $ / M tokens$0.09$0.33
Results tracked3419

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Category by category

Coding Hy3 leads

gpt-oss-20b: 37.6 (#192), Hy3: 46.8 (#63)

Coding benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Coding13061464
LMArena WebDev—1508
SciCode34.4%—
WeirdML40.9%—
ALE-Bench566.05—

Agentic & Tool Use Not comparable

gpt-oss-20b: 9.3 (#154), Hy3: —

Agentic & Tool Use benchmarks
Benchmarkgpt-oss-20bHy3
Terminal-Bench3.4%—

Reasoning Hy3 leads

gpt-oss-20b: 19.3 (#261), Hy3: 26.1 (#136)

Reasoning benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Hard Prompts12741447
Kagi LLM Benchmark53.2%—
NYT Connections (extended)—41.2%
CritPt1.4%—
Chess Puzzles4%—
DTBench68%—
LMCA14.5%—
Epoch Capabilities Index137.82—

Math Too close to call

gpt-oss-20b: 39.4 (#103), Hy3: 40.1 (#93)

Math benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Math13171475
OTIS Mock AIME 2024-202565.3%—
Omni-MATH56.5%—

Knowledge Hy3 leads

gpt-oss-20b: 34.6 (#195), Hy3: 40.8 (#114)

Knowledge benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Expert12581460
GPQA Diamond60.8%—
MMLU-Pro74%—
GPQA (HELM)59.4%—

Multilingual Hy3 leads

gpt-oss-20b: 42.2 (#197), Hy3: 53.5 (#65)

Multilingual benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Non-English12681426
LMArena Chinese13141493
LMArena German12551439
LMArena Japanese12441392
LMArena Korean12361395
LMArena Russian12781432
LMArena Spanish12671456
LMArena French—1461

Instruction Following Hy3 leads

gpt-oss-20b: 61.8 (#240), Hy3: 75.1 (#70)

Instruction Following benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Instruction Following12361426
IFEval73.2%—

Long Context Hy3 leads

gpt-oss-20b: 37.9 (#209), Hy3: 44.1 (#75)

Long Context benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Longer Query12501442

Writing & Preference Hy3 leads

gpt-oss-20b: 35.5 (#265), Hy3: 62.2 (#81)

Writing & Preference benchmarks
Benchmarkgpt-oss-20bHy3
LMArena Text12871439
LMArena Creative Writing12011402
LMArena Multi-Turn12681436
EQ-Bench Creative Writing666—
WildBench73.7%—

Frequently asked questions

Is gpt-oss-20b better than Hy3?

Hy3 is the stronger model overall, scoring 44.2 to 32.5 on the Noometry Index. gpt-oss-20b costs 4.0× less per token, which makes it the better buy when Hy3's lead doesn't matter for your workload.

Which is cheaper, gpt-oss-20b or Hy3?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Hy3 lists at $0.0825 and $0.33.

Is gpt-oss-20b or Hy3 better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 37.6 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 131K.

How many benchmarks do gpt-oss-20b and Hy3 share?

16 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Hy3 has 19.

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