Model comparison

Hunyuan Standard 2025 02 10 vs Trinity Large Thinking

Hunyuan Standard 2025 02 10 and Trinity Large Thinking score almost the same on the Noometry Index (37.9 vs 38.6), so choose on price, context window or the category you care about most.

Last verified . 12 shared benchmarks.

Hunyuan Standard 2025 02 10 Tencent

37.9

Rank #193 Confirmed

Trinity Large Thinking Arcee AI

38.6

Rank #185 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Hunyuan Standard 2025 02 10 scores higher in 2 categories and Trinity Large Thinking in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Hunyuan Standard 2025 02 10 leads 25.0 to 16.9.
  • Trinity Large Thinking has downloadable open weights; the other is API-only.

Side by side

Hunyuan Standard 2025 02 10 and Trinity Large Thinking specifications
Hunyuan Standard 2025 02 10Trinity Large Thinking
ProviderTencentArcee AI
Noometry Index37.938.6
Released—2026-04-01
WeightsProprietaryOpen
Context window—262K
Max output—80K
Input $ / M tokens—$0.25
Output $ / M tokens—$0.80
Results tracked1224

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Category by category

Coding Hunyuan Standard 2025 02 10 leads

Hunyuan Standard 2025 02 10: 37.1 (#197), Trinity Large Thinking: 34.1 (#244)

Coding benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Coding12701381
LMArena WebDev—1238
SciCode—36.1%

Reasoning Hunyuan Standard 2025 02 10 leads

Hunyuan Standard 2025 02 10: 25.0 (#154), Trinity Large Thinking: 16.9 (#298)

Reasoning benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Hard Prompts12641350
NYT Connections (extended)—16.5%
CritPt—0.9%
Thematic Generalization—41.6%
Surface Evolver Bench—15.6%

Math Trinity Large Thinking leads

Hunyuan Standard 2025 02 10: 35.6 (#179), Trinity Large Thinking: 37.6 (#149)

Math benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Math12741366

Knowledge Trinity Large Thinking leads

Hunyuan Standard 2025 02 10: 34.2 (#197), Trinity Large Thinking: 40.9 (#113)

Knowledge benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Expert12481360
Vectara Hallucination Rate—6.9%

Multilingual Trinity Large Thinking leads

Hunyuan Standard 2025 02 10: 41.7 (#203), Trinity Large Thinking: 46.2 (#160)

Multilingual benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Non-English12621325
LMArena Chinese13191373
LMArena Russian12581337
LMArena French—1374
LMArena German—1356
LMArena Japanese—1311
LMArena Korean—1306
LMArena Spanish—1357

Instruction Following Trinity Large Thinking leads

Hunyuan Standard 2025 02 10: 65.5 (#219), Trinity Large Thinking: 70.5 (#162)

Instruction Following benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Instruction Following12451334

Long Context Trinity Large Thinking leads

Hunyuan Standard 2025 02 10: 39.5 (#173), Trinity Large Thinking: 41.3 (#144)

Long Context benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Longer Query13011355

Writing & Preference Trinity Large Thinking leads

Hunyuan Standard 2025 02 10: 47.2 (#214), Trinity Large Thinking: 53.8 (#158)

Writing & Preference benchmarks
BenchmarkHunyuan Standard 2025 02 10Trinity Large Thinking
LMArena Text12741340
LMArena Creative Writing12421320
LMArena Multi-Turn12751342

Frequently asked questions

Is Hunyuan Standard 2025 02 10 better than Trinity Large Thinking?

Hunyuan Standard 2025 02 10 and Trinity Large Thinking score almost the same on the Noometry Index (37.9 vs 38.6), so choose on price, context window or the category you care about most.

Is Hunyuan Standard 2025 02 10 or Trinity Large Thinking better for coding?

Hunyuan Standard 2025 02 10 scores higher on coding benchmarks: 37.1 versus 34.1 in the Noometry coding category.

How many benchmarks do Hunyuan Standard 2025 02 10 and Trinity Large Thinking share?

12 benchmarks have published results for both models. Hunyuan Standard 2025 02 10 has 12 scored results on Noometry and Trinity Large Thinking has 24.

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