Model comparison

Hy4 preview vs Trinity Large Thinking

Hy4 preview is the stronger model overall, scoring 44.6 to 38.1 on the Noometry Index. Trinity Large Thinking costs 3.2× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Hy4 preview Tencent

44.6

Rank #73 Reported

Trinity Large Thinking Arcee AI

38.1

Rank #180 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Hy4 preview scores higher in 3 categories and Trinity Large Thinking in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Hy4 preview leads 54.5 to 34.9.
  • The biggest single-benchmark swing is NYT Connections (extended): 68.2% for Hy4 preview and 16.5% for Trinity Large Thinking.
  • Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.83 / $2.50 for Hy4 preview.
  • Hy4 preview accepts more context: 1.05M tokens versus 262K.

Side by side

Hy4 preview and Trinity Large Thinking specifications
Hy4 previewTrinity Large Thinking
ProviderTencentArcee AI
Noometry Index44.638.1
Released2026-08-282026-04-01
WeightsOpenOpen
Context window1.05M262K
Max output64K80K
Input $ / M tokens$0.83$0.25
Output $ / M tokens$2.50$0.80
Results tracked324

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Category by category

Coding Hy4 preview leads

Hy4 preview: 51.4 (#36), Trinity Large Thinking: 33.8 (#238)

Coding benchmarks
BenchmarkHy4 previewTrinity Large Thinking
LMArena WebDev16331238
SciCode—36.1%
LMArena Coding—1381

Reasoning Hy4 preview leads

Hy4 preview: 30.6 (#75), Trinity Large Thinking: 16.3 (#298)

Reasoning benchmarks
BenchmarkHy4 previewTrinity Large Thinking
NYT Connections (extended)68.2%16.5%
CritPt—0.9%
Thematic Generalization—41.6%
LMArena Hard Prompts—1350
Surface Evolver Bench—15.6%

Math Hy4 preview leads

Hy4 preview: 54.5 (#37), Trinity Large Thinking: 34.9 (#149)

Math benchmarks
BenchmarkHy4 previewTrinity Large Thinking
ProofBench75%—
LMArena Math—1366

Knowledge Not comparable

Hy4 preview: —, Trinity Large Thinking: 40.3 (#107)

Knowledge benchmarks
BenchmarkHy4 previewTrinity Large Thinking
Vectara Hallucination Rate—6.9%
LMArena Expert—1359

Multilingual Not comparable

Hy4 preview: —, Trinity Large Thinking: 46.4 (#155)

Multilingual benchmarks
BenchmarkHy4 previewTrinity Large Thinking
LMArena Non-English—1325
LMArena Chinese—1372
LMArena French—1374
LMArena German—1356
LMArena Japanese—1312
LMArena Korean—1304
LMArena Russian—1338
LMArena Spanish—1356

Instruction Following Not comparable

Hy4 preview: —, Trinity Large Thinking: 70.7 (#157)

Instruction Following benchmarks
BenchmarkHy4 previewTrinity Large Thinking
LMArena Instruction Following—1334

Long Context Not comparable

Hy4 preview: —, Trinity Large Thinking: 41.2 (#139)

Long Context benchmarks
BenchmarkHy4 previewTrinity Large Thinking
LMArena Longer Query—1355

Writing & Preference Not comparable

Hy4 preview: —, Trinity Large Thinking: 54.0 (#152)

Writing & Preference benchmarks
BenchmarkHy4 previewTrinity Large Thinking
LMArena Text—1340
LMArena Creative Writing—1321
LMArena Multi-Turn—1342

Frequently asked questions

Is Hy4 preview better than Trinity Large Thinking?

Hy4 preview is the stronger model overall, scoring 44.6 to 38.1 on the Noometry Index. Trinity Large Thinking costs 3.2× less per token, which makes it the better buy when Hy4 preview's lead doesn't matter for your workload.

Which is cheaper, Hy4 preview or Trinity Large Thinking?

Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; Hy4 preview lists at $0.83 and $2.50.

Is Hy4 preview or Trinity Large Thinking better for coding?

Hy4 preview scores higher on coding benchmarks: 51.4 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Hy4 preview does, with 1.05M tokens against 262K.

How many benchmarks do Hy4 preview and Trinity Large Thinking share?

2 benchmarks have published results for both models. Hy4 preview has 3 scored results on Noometry and Trinity Large Thinking has 24.

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