Enter opens the highlighted result. Esc closes.

Trinity Large Thinking vs Hy4 preview

Updated October 21, 2026. 3 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
0
Hy4 previewTencent
Coding
61.6
Overall
No data
Output $/M
$2.501
3
vs boards won of 3 shared

Decision reading

Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Pick Trinity Large Thinking when output tokens cost 3.1x less.

Shared results
3
Trinity Large Thinking only
49
Hy4 preview only
21
Like-for-like categories
1 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Trinity Large Thinking 5.4 from 1 benchmark, Hy4 preview 61.6 from 1 benchmark.
Widest category
Coding, 59.2 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena WebDev: React: Trinity Large Thinking 1231 against Hy4 preview 1653, 61.6 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Hy4 preview $2.501 per million output tokens, 3.1x apart.
Context window
Trinity Large Thinking takes 262K tokens, Hy4 preview 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryTrinity Large ThinkingBarsHy4 previewTies
Coding03
All shared boards03
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
LMArena WebDev12381631Hy4 preview
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
Terminal-Bench 4 (Vals AI)Not measured8.1%Only Hy4 preview measured
Vibe Code Bench (Vals AI)Not measured77.5%Only Hy4 preview measured
Code migration (Vals AI)Not measured47.4%Only Hy4 preview measured
ProgramBench (Vals AI)Not measured0.0%Only Hy4 preview measured
IOI (Vals AI)Not measured59.3%Only Hy4 preview measured
Terminal-Bench 2.1 (Vals AI)Not measured55.1%Only Hy4 preview measured
CyberBench (Vals AI)Not measured65.4%Only Hy4 preview measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: coding1357Not measuredOnly Trinity Large Thinking measured
LMArena Text: software and IT1362Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: React12311653Hy4 preview
LMArena WebDev: HTML12401620Hy4 preview
Neither model has a result on the other 23 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
AA Intelligence Index10.8Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
SREBench (Vals AI)Not measured2.3%Only Hy4 preview measured
Finance Agent (Vals AI)Not measured55.1%Only Hy4 preview measured
Tax Agent Bench (Vals AI)Not measured32.6%Only Hy4 preview measured
Legal Research Bench (Vals AI)Not measured45.2%Only Hy4 preview measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured8.8%Only Hy4 preview measured
Excel Modeling Benchmark (Vals AI)Not measured58.1%Only Hy4 preview measured
BioMysteryBench (Vals AI)Not measured69.3%Only Hy4 preview measured
Terminal-Bench-Science (Vals AI)Not measured1.4%Only Hy4 preview measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 29 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
GPQA Diamond (Artificial Analysis run)75.2%Not measuredOnly Trinity Large Thinking measured
Humanity's Last Exam (Artificial Analysis run)15.8%Not measuredOnly Trinity Large Thinking measured
LMArena Text: hard prompts1342Not measuredOnly Trinity Large Thinking measured
LMArena Text: expert1359Not measuredOnly Trinity Large Thinking measured
LMArena Text: hard prompts in English1356Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
ProofBenchNot measured75.0%Only Hy4 preview measured
LMArena Text: math1365Not measuredOnly Trinity Large Thinking measured
LMArena Text: mathematical work1350Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
LegalBench (Vals AI)Not measured83.8%Only Hy4 preview measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
MedCode (Vals AI)Not measured43.3%Only Hy4 preview measured
LMArena Text: science1355Not measuredOnly Trinity Large Thinking measured
LMArena Text: medicine and healthcare1349Not measuredOnly Trinity Large Thinking measured
LMArena Text: legal and government1345Not measuredOnly Trinity Large Thinking measured
LMArena Text: business and finance1329Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
Design Arena: websites1137Not measuredOnly Trinity Large Thinking measured
Design Arena: UI components1045Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1079Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098Not measuredOnly Trinity Large Thinking measured
Design Arena: 3D1082Not measuredOnly Trinity Large Thinking measured
Design Arena: all code categories1117Not measuredOnly Trinity Large Thinking measured
Design Arena: SVG1016Not measuredOnly Trinity Large Thinking measured
Design Arena: ASCII art1041Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
General benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
Vals IndexNot measured53.2%Only Hy4 preview measured
Public Benefits Bench (Vals AI)Not measured68.6%Only Hy4 preview measured
MedScribe (Vals AI)Not measured83.6%Only Hy4 preview measured
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text1340Not measuredOnly Trinity Large Thinking measured
LMArena Text: instruction following1326Not measuredOnly Trinity Large Thinking measured
LMArena Text: creative writing1308Not measuredOnly Trinity Large Thinking measured
LMArena Text: English1356Not measuredOnly Trinity Large Thinking measured
LMArena Text: non-English1325Not measuredOnly Trinity Large Thinking measured
LMArena Text: Chinese1371Not measuredOnly Trinity Large Thinking measured
LMArena Text: German1356Not measuredOnly Trinity Large Thinking measured
LMArena Text: Japanese1312Not measuredOnly Trinity Large Thinking measured
LMArena Text: Korean1306Not measuredOnly Trinity Large Thinking measured
LMArena Text: French1366Not measuredOnly Trinity Large Thinking measured
LMArena Text: Spanish1327Not measuredOnly Trinity Large Thinking measured
LMArena Text: Russian1338Not measuredOnly Trinity Large Thinking measured
LMArena Text: Polish1312Not measuredOnly Trinity Large Thinking measured
LMArena Text: multi-turn1320Not measuredOnly Trinity Large Thinking measured
LMArena Text: longer queries1318Not measuredOnly Trinity Large Thinking measured
LMArena Text: writing and language1317Not measuredOnly Trinity Large Thinking measured
LMArena Text: entertainment and media1296Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Trinity Large Thinking and Hy4 preview
BenchmarkTrinity Large ThinkingHy4 previewLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Trinity Large Thinking$0.0006Fits in one request
Hy4 preview$0.0021Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Hy4 preview$0.049Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Hy4 preview$0.192Fits in one request

Trinity Large Thinking costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Trinity Large Thinking and Hy4 preview
SpecificationArcee AI Trinity Large ThinkingTencent Hy4 preview
MakerArcee AITencent
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026August 28, 2026
Context window262K1.05M
Input $/Mtok$0.25$0.834
Output $/Mtok$0.80$2.501
Coding index5.461.6
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Hy4 preview for coding?

Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 3.1x less.

Which is cheaper, Trinity Large Thinking or Hy4 preview?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Hy4 preview costs $0.834 and $2.501. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or Hy4 preview?

Hy4 preview, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs Hy4 preview comparison based on?

3 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Hy4 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next