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Trinity Large Thinking vs Kimi K2.5

Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Trinity Large Thinking Replace Kimi K2.5
Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
0
Kimi K2.5Moonshot AI
Coding
58.5
Overall
23.5
Output $/M
$2.50
49
vs boards won of 49 shared

Decision reading

Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

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

Model ATrinity Large ThinkingArcee AI5.4/1001 independent benchmarkNo cost per solved taskModel BKimi K2.5Moonshot AI58.5/1002 independent benchmarks$0.24 per solved task
Shared results
49
Trinity Large Thinking only
3
Kimi K2.5 only
49
Like-for-like categories
8 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, Kimi K2.5 58.5 from 2 benchmarks.
Widest category
Coding, 23.5 points apart on average over 7 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against Kimi K2.5 78.0%, 40.0 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Kimi K2.5 $2.50 per million output tokens, 3.1x apart.
Context window
Both take 262K tokens.

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 ThinkingBarsKimi K2.5Ties
Coding07
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge06
Web design08
General019
All shared boards049
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDev12381437Kimi K2.5
AA Coding Index25.846.8Kimi K2.5
LiveCodeBench (Vals AI)Not measured83.9%Only Kimi K2.5 measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Kimi K2.5 measured
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%34.8%Kimi K2.5
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
WeirdMLNot measured45.6%Only Kimi K2.5 measured
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding13571483Kimi K2.5
LMArena Text: software and IT13621471Kimi K2.5
LMArena WebDev: React12311429Kimi K2.5
LMArena WebDev: HTML12401426Kimi K2.5
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
AA Intelligence Index10.823.5Kimi K2.5
Epoch Capabilities IndexNot measured148.1Only Kimi K2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1124Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench Telecom90.1%95.9%Kimi K2.5
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
GPQA DiamondNot measured84.1%Only Kimi K2.5 measured
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)75.2%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)15.8%30.7%Kimi K2.5
ARC-AGINot measured65.3%Only Kimi K2.5 measured
ARC-AGI-2Not measured11.8%Only Kimi K2.5 measured
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
LMArena Text: hard prompts13421453Kimi K2.5
LMArena Text: expert13591466Kimi K2.5
LMArena Text: hard prompts in English13561460Kimi K2.5
LMArena Vision: diagramsNot measured1282Only Kimi K2.5 measured
LMArena Vision: homeworkNot measured1297Only Kimi K2.5 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
LMArena Text: math13651470Kimi K2.5
LMArena Text: mathematical work13501473Kimi K2.5
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
MMLU ProNot measured85.9%Only Kimi K2.5 measured
CaseLaw (Vals AI)57.9%58.7%Kimi K2.5
CorpFin (Vals AI)54.7%68.3%Kimi K2.5
TaxEval (Vals AI)Not measured74.2%Only Kimi K2.5 measured
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science13551459Kimi K2.5
LMArena Text: medicine and healthcare13491448Kimi K2.5
LMArena Text: legal and government13451441Kimi K2.5
LMArena Text: business and finance13291427Kimi K2.5
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
Design Arena: websites11371249Kimi K2.5
Design Arena: UI components10451236Kimi K2.5
Design Arena: game dev10791207Kimi K2.5
Design Arena: data viz10981219Kimi K2.5
Design Arena: 3D10821205Kimi K2.5
Design Arena: all code categories11171236Kimi K2.5
Design Arena: SVG10161149Kimi K2.5
Design Arena: ASCII art10411165Kimi K2.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Trinity Large Thinking and Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)Not measured76.4%Only Kimi K2.5 measured
IFBench56.3%70.2%Kimi K2.5
Long context reasoning (AA-LCR)38.0%78.0%Kimi K2.5
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text13401445Kimi K2.5
LMArena Text: instruction following13261431Kimi K2.5
LMArena Text: creative writing13081422Kimi K2.5
LMArena VisionNot measured1269Only Kimi K2.5 measured
LMArena Text: English13561453Kimi K2.5
LMArena Text: non-English13251433Kimi K2.5
LMArena Text: Chinese13711494Kimi K2.5
LMArena Text: German13561441Kimi K2.5
LMArena Text: Japanese13121423Kimi K2.5
LMArena Text: Korean13061412Kimi K2.5
LMArena Text: French13661454Kimi K2.5
LMArena Text: Spanish13271450Kimi K2.5
LMArena Text: Russian13381435Kimi K2.5
LMArena Text: Polish13121445Kimi K2.5
LMArena Text: multi-turn13201444Kimi K2.5
LMArena Text: longer queries13181445Kimi K2.5
LMArena Text: writing and language13171425Kimi K2.5
LMArena Text: entertainment and media12961417Kimi K2.5
LMArena Vision: EnglishNot measured1274Only Kimi K2.5 measured
LMArena Vision: ChineseNot measured1328Only Kimi K2.5 measured
LMArena Vision: reading textNot measured1276Only Kimi K2.5 measured
LMArena Vision: humorNot measured1284Only Kimi K2.5 measured
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writingNot measured1269Only Kimi K2.5 measured
Neither model has a result on the other 13 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 Kimi K2.5
BenchmarkTrinity Large ThinkingKimi K2.5Leader
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
Kimi K2.5$0.0018Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Kimi K2.5$0.033Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Kimi K2.5$0.125Fits 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 Kimi K2.5
SpecificationArcee AI Trinity Large ThinkingMoonshotAI Kimi K2.5
MakerArcee AIMoonshot AI
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026January 27, 2026
Context window262K262K
Input $/Mtok$0.25$0.50
Output $/Mtok$0.80$2.50
Coding index5.458.5
Independent measurements behind it12
Cost per solved taskNot computable$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Kimi K2.5 for coding?

Pick Kimi K2.5 for coding: it scores 58.5 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 Kimi K2.5?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Kimi K2.5 costs $0.50 and $2.50. Cost per solved task is known for Kimi K2.5 only.

Which has the bigger context window, Trinity Large Thinking or Kimi K2.5?

Neither: both take 262K tokens.

How many benchmarks is the Trinity Large Thinking vs Kimi K2.5 comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Kimi K2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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