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Trinity Large Thinking vs Claude Opus 4.5

Updated October 21, 2026. 48 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 Claude Opus 4.5
Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
1
Claude Opus 4.5Anthropic
Coding
66.8
Overall
29.1
Output $/M
$25.00
47
vs boards won of 48 shared

Decision reading

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Pick Trinity Large Thinking when output tokens cost 31.3x less, or when the context window is larger, 262K against 200K tokens.

Model ATrinity Large ThinkingArcee AI5.4/1001 independent benchmarkNo cost per solved taskModel BClaude Opus 4.5Anthropic66.8/1002 independent benchmarks$1.37 per solved task
Shared results
48
Trinity Large Thinking only
4
Claude Opus 4.5 only
57
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, Claude Opus 4.5 66.8 from 2 benchmarks.
Widest category
Coding, 31.9 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Trinity Large Thinking 1240 against Claude Opus 4.5 1510, 45.0 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Claude Opus 4.5 $25.00 per million output tokens, 31.3x apart.
Context window
Trinity Large Thinking takes 262K tokens, Claude Opus 4.5 200K.

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 ThinkingBarsClaude Opus 4.5Ties
Coding06
Intelligence01
Agentic work10
Reasoning05
Math02
Knowledge06
Web design08
General019
All shared boards147
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
Coding benchmarks for Trinity Large Thinking and Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
SWE-bench VerifiedNot measured79.2%Only Claude Opus 4.5 measured
SWE-bench (full test set)Not measured52.6%Only Claude Opus 4.5 measured
SWE-bench MultilingualNot measured70.7%Only Claude Opus 4.5 measured
LMArena WebDev12381494Claude Opus 4.5
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Vals AI)Not measured83.7%Only Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)Not measured76.4%Only Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)Not measured20.6%Only Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured87.1%Only Claude Opus 4.5 measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%47.0%Claude Opus 4.5
Terminal-BenchNot measured63.1%Only Claude Opus 4.5 measured
GSO-BenchNot measured26.5%Only Claude Opus 4.5 measured
WeirdMLNot measured63.7%Only Claude Opus 4.5 measured
CybenchNot measured82.0%Only Claude Opus 4.5 measured
LMArena Text: coding13571503Claude Opus 4.5
LMArena Text: software and IT13621483Claude Opus 4.5
LMArena WebDev: React12311478Claude Opus 4.5
LMArena WebDev: HTML12401510Claude Opus 4.5
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 Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
AA Intelligence Index10.829.1Claude Opus 4.5
Epoch Capabilities IndexNot measured150.1Only Claude Opus 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Trinity Large Thinking and Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
Design Arena: agents building web appsNot measured1159Only Claude Opus 4.5 measured
Design Arena: agents building full-stack appsNot measured1156Only Claude Opus 4.5 measured
Design Arena: agents building mobile appsNot measured1189Only Claude Opus 4.5 measured
Design Arena: agents building Android appsNot measured1181Only Claude Opus 4.5 measured
τ²-Bench Telecom90.1%89.5%Trinity Large Thinking
METR time horizonsNot measured75.0%Only Claude Opus 4.5 measured
Remote Labor IndexNot measured3.8%Only Claude Opus 4.5 measured
GDPvalNot measured45.5%Only Claude Opus 4.5 measured
BALROGNot measured43.5%Only Claude Opus 4.5 measured
DeepResearch BenchNot measured54.8%Only Claude Opus 4.5 measured
OSWorldNot measured66.3%Only Claude Opus 4.5 measured
Vending-Bench 2Not measured$4,967Only Claude Opus 4.5 measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
GPQA DiamondNot measured85.9%Only Claude Opus 4.5 measured
MMMU Pro (Vals AI)Not measured83.0%Only Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)75.2%86.6%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)15.8%30.1%Claude Opus 4.5
GPQA Diamond (Epoch AI run)Not measured86.0%Only Claude Opus 4.5 measured
ARC-AGINot measured80.0%Only Claude Opus 4.5 measured
ARC-AGI-2Not measured37.6%Only Claude Opus 4.5 measured
SimpleBenchNot measured62.0%Only Claude Opus 4.5 measured
Chess puzzlesNot measured14.0%Only Claude Opus 4.5 measured
Mystery game puzzlesNot measured22.0%Only Claude Opus 4.5 measured
EBR-benchNot measured14.3%Only Claude Opus 4.5 measured
VPCTNot measured40.0%Only Claude Opus 4.5 measured
LMArena Text: hard prompts13421476Claude Opus 4.5
LMArena Text: expert13591487Claude Opus 4.5
LMArena Text: hard prompts in English13561482Claude Opus 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
AIMENot measured95.4%Only Claude Opus 4.5 measured
MGSM (Vals AI)Not measured95.2%Only Claude Opus 4.5 measured
AA Math IndexNot measured91.3Only Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)Not measured91.3%Only Claude Opus 4.5 measured
OTIS Mock AIMENot measured86.1%Only Claude Opus 4.5 measured
FrontierMath, tiers 1 to 3Not measured34.4%Only Claude Opus 4.5 measured
FrontierMath, tier 4Not measured4.9%Only Claude Opus 4.5 measured
ProofBenchNot measured36.0%Only Claude Opus 4.5 measured
LMArena Text: math13651463Claude Opus 4.5
LMArena Text: mathematical work13501468Claude Opus 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Trinity Large Thinking and Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
MMLU ProNot measured87.3%Only Claude Opus 4.5 measured
LegalBench (Vals AI)Not measured84.6%Only Claude Opus 4.5 measured
CaseLaw (Vals AI)57.9%62.6%Claude Opus 4.5
CorpFin (Vals AI)54.7%65.1%Claude Opus 4.5
TaxEval (Vals AI)Not measured74.9%Only Claude Opus 4.5 measured
MortgageTax (Vals AI)Not measured68.7%Only Claude Opus 4.5 measured
MedQA (Vals AI)Not measured95.9%Only Claude Opus 4.5 measured
MedCode (Vals AI)Not measured49.2%Only Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured89.5%Only Claude Opus 4.5 measured
SimpleQA VerifiedNot measured45.7%Only Claude Opus 4.5 measured
GeoBenchNot measured75.0%Only Claude Opus 4.5 measured
LMArena Text: science13551454Claude Opus 4.5
LMArena Text: medicine and healthcare13491444Claude Opus 4.5
LMArena Text: legal and government13451459Claude Opus 4.5
LMArena Text: business and finance13291448Claude Opus 4.5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Trinity Large Thinking and Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
Design Arena: websites11371247Claude Opus 4.5
Design Arena: UI components10451238Claude Opus 4.5
Design Arena: game dev10791229Claude Opus 4.5
Design Arena: data viz10981243Claude Opus 4.5
Design Arena: 3D10821214Claude Opus 4.5
Design Arena: all code categories11171242Claude Opus 4.5
Design Arena: SVG10161180Claude Opus 4.5
Design Arena: ASCII art10411190Claude Opus 4.5
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 Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
SAGE (Vals AI)Not measured52.1%Only Claude Opus 4.5 measured
MedScribe (Vals AI)Not measured85.3%Only Claude Opus 4.5 measured
IFBench56.3%58.0%Claude Opus 4.5
Long context reasoning (AA-LCR)38.0%77.3%Claude Opus 4.5
DTBenchNot measured89.9%Only Claude Opus 4.5 measured
LMCANot measured44.5%Only Claude Opus 4.5 measured
CL-benchNot measured21.1%Only Claude Opus 4.5 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
Furniture assemblyNot measured28.3%Only Claude Opus 4.5 measured
LMArena Text13401451Claude Opus 4.5
LMArena Text: instruction following13261478Claude Opus 4.5
LMArena Text: creative writing13081445Claude Opus 4.5
LMArena Text: English13561461Claude Opus 4.5
LMArena Text: non-English13251438Claude Opus 4.5
LMArena Text: Chinese13711470Claude Opus 4.5
LMArena Text: German13561449Claude Opus 4.5
LMArena Text: Japanese13121417Claude Opus 4.5
LMArena Text: Korean13061424Claude Opus 4.5
LMArena Text: French13661471Claude Opus 4.5
LMArena Text: Spanish13271457Claude Opus 4.5
LMArena Text: Russian13381447Claude Opus 4.5
LMArena Text: Polish13121439Claude Opus 4.5
LMArena Text: multi-turn13201466Claude Opus 4.5
LMArena Text: longer queries13181479Claude Opus 4.5
LMArena Text: writing and language13171452Claude Opus 4.5
LMArena Text: entertainment and media12961434Claude Opus 4.5
LMArena DocumentNot measured1462Only Claude Opus 4.5 measured
Neither model has a result on the other 19 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 Claude Opus 4.5
BenchmarkTrinity Large ThinkingClaude Opus 4.5Leader
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
Claude Opus 4.5$0.018Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Claude Opus 4.5$0.325Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Claude Opus 4.5$1.25Exceeds the context window

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 Claude Opus 4.5
SpecificationArcee AI Trinity Large ThinkingAnthropic Claude Opus 4.5
MakerArcee AIAnthropic
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026November 24, 2025
Context window262K200K
Input $/Mtok$0.25$5.00
Output $/Mtok$0.80$25.00
Coding index5.466.8
Independent measurements behind it12
Cost per solved taskNot computable$1.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Claude Opus 4.5 for coding?

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 31.3x less, or when the context window is larger, 262K against 200K tokens.

Which is cheaper, Trinity Large Thinking or Claude Opus 4.5?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Claude Opus 4.5 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Trinity Large Thinking or Claude Opus 4.5?

Trinity Large Thinking, with 262K tokens against 200K.

How many benchmarks is the Trinity Large Thinking vs Claude Opus 4.5 comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Claude Opus 4.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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