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Trinity Large Thinking vs Claude Opus 4.8

Claude Opus 4.8 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 41.8 to 10.8, and Trinity Large Thinking costs 31.3x less per output token ($0.80 vs $25.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace Trinity Large Thinking Replace Claude Opus 4.8
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
0
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
51
vs boards won of 51 shared

Trinity Large Thinking or Claude Opus 4.8: which to pick

Only Claude Opus 4.8 has a coding score, 65.0 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding.

Pick Trinity Large Thinking for output tokens 31.3x cheaper ($0.80 vs $25.00 per million).

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved task
Shared results
51
Trinity Large Thinking only
1
Claude Opus 4.8 only
79
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 not benchmarked, Claude Opus 4.8 65.0 from 6 benchmarks.
Widest category
Coding, 36.4 points apart on average over 8 shared benchmarks.
Widest single gap
Surface Evolver Bench: Trinity Large Thinking 15.6% against Claude Opus 4.8 87.5%, 71.9 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Claude Opus 4.8 $25.00 per million output tokens, 31.3x apart.
Context window
Trinity Large Thinking takes 262K tokens, Claude Opus 4.8 1M.

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 4.8Ties
Coding08
Intelligence01
Agentic work02
Reasoning05
Math02
Knowledge05
Web design08
General020
All shared boards051
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
LiveBench codingNot measured77.3%Only Claude Opus 4.8 measured
LMArena WebDev12381556Claude Opus 4.8
AA Coding Index25.874.3Claude Opus 4.8
LiveCodeBench (Vals AI)Not measured87.8%Only Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)Not measured88.6%Only Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)Not measured23.2%Only Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)Not measured82.7%Only Claude Opus 4.8 measured
Code migration (Vals AI)Not measured47.3%Only Claude Opus 4.8 measured
ProgramBench (Vals AI)Not measured1.0%Only Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)Not measured71.9%Only Claude Opus 4.8 measured
SkillsBench (Vals AI)Not measured59.2%Only Claude Opus 4.8 measured
SciCode40.6%54.4%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)22.7%58.3%Claude Opus 4.8
FrontierCodeNot measured46.5%Only Claude Opus 4.8 measured
GSO-BenchNot measured47.1%Only Claude Opus 4.8 measured
WeirdMLNot measured82.9%Only Claude Opus 4.8 measured
LMArena Text: coding13571490Claude Opus 4.8
LMArena Text: software and IT13621488Claude Opus 4.8
LMArena WebDev: React12311557Claude Opus 4.8
LMArena WebDev: HTML12401543Claude Opus 4.8
SciCodeNot measured12.3%Only Claude Opus 4.8 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
AA Intelligence Index10.841.8Claude Opus 4.8
Epoch Capabilities IndexNot measured159.0Only Claude Opus 4.8 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
AA Agentic Index1.041.9Claude Opus 4.8
Design Arena: agents building web appsNot measured1233Only Claude Opus 4.8 measured
Design Arena: agents building full-stack appsNot measured1249Only Claude Opus 4.8 measured
Design Arena: agents building mobile appsNot measured1222Only Claude Opus 4.8 measured
Design Arena: agents building Android appsNot measured1233Only Claude Opus 4.8 measured
Design Arena: agents building Godot gamesNot measured1231Only Claude Opus 4.8 measured
Design Arena: agents building gamesNot measured1239Only Claude Opus 4.8 measured
Design Arena: HTML slidesNot measured1171Only Claude Opus 4.8 measured
Design Arena: PowerPoint slidesNot measured1202Only Claude Opus 4.8 measured
Design Arena: spreadsheetsNot measured1303Only Claude Opus 4.8 measured
LiveBench researchNot measured81.8%Only Claude Opus 4.8 measured
LiveBench browserNot measured96.0%Only Claude Opus 4.8 measured
LiveBench long agenticNot measured48.3%Only Claude Opus 4.8 measured
Finance Agent (Vals AI)Not measured53.9%Only Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)Not measured30.0%Only Claude Opus 4.8 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)Not measured69.4%Only Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Claude Opus 4.8 measured
Time Horizon Index (Vals AI)Not measured11.8%Only Claude Opus 4.8 measured
τ²-Bench Telecom90.1%94.4%Claude Opus 4.8
APEX-AgentsNot measured48.9%Only Claude Opus 4.8 measured
Remote Labor IndexNot measured8.3%Only Claude Opus 4.8 measured
OSWorld 2.0Not measured20.6%Only Claude Opus 4.8 measured
DeepResearch BenchNot measured50.2%Only Claude Opus 4.8 measured
PostTrainBenchNot measured33.8%Only Claude Opus 4.8 measured
Vending-Bench 2Not measured$5,787Only Claude Opus 4.8 measured
LMArena SearchNot measured1204Only Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
GPQA DiamondNot measured92.4%Only Claude Opus 4.8 measured
LiveBench reasoningNot measured89.2%Only Claude Opus 4.8 measured
MMMU Pro (Vals AI)Not measured86.6%Only Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)75.2%92.0%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)15.8%48.7%Claude Opus 4.8
GPQA Diamond (Epoch AI run)Not measured91.0%Only Claude Opus 4.8 measured
ARC-AGINot measured92.5%Only Claude Opus 4.8 measured
ARC-AGI-2Not measured72.1%Only Claude Opus 4.8 measured
SimpleBenchNot measured64.8%Only Claude Opus 4.8 measured
Chess puzzlesNot measured52.0%Only Claude Opus 4.8 measured
Mystery game puzzlesNot measured36.0%Only Claude Opus 4.8 measured
EBR-benchNot measured28.6%Only Claude Opus 4.8 measured
LMArena Text: hard prompts13421482Claude Opus 4.8
LMArena Text: expert13591503Claude Opus 4.8
LMArena Text: hard prompts in English13561487Claude Opus 4.8
LMArena Vision: diagramsNot measured1315Only Claude Opus 4.8 measured
LMArena Vision: homeworkNot measured1337Only Claude Opus 4.8 measured
Kagi LLM BenchmarkNot measured88.8%Only Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
OTIS Mock AIMENot measured98.3%Only Claude Opus 4.8 measured
FrontierMath, tiers 1 to 3Not measured80.0%Only Claude Opus 4.8 measured
FrontierMath, tier 4Not measured56.1%Only Claude Opus 4.8 measured
ProofBenchNot measured69.0%Only Claude Opus 4.8 measured
LMArena Text: math13651486Claude Opus 4.8
LMArena Text: mathematical work13501497Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
MMLU ProNot measured89.6%Only Claude Opus 4.8 measured
LegalBench (Vals AI)Not measured83.6%Only Claude Opus 4.8 measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%66.7%Claude Opus 4.8
TaxEval (Vals AI)Not measured75.6%Only Claude Opus 4.8 measured
MortgageTax (Vals AI)Not measured69.9%Only Claude Opus 4.8 measured
MedCode (Vals AI)Not measured53.2%Only Claude Opus 4.8 measured
SimpleQA VerifiedNot measured53.0%Only Claude Opus 4.8 measured
LMArena Text: science13551477Claude Opus 4.8
LMArena Text: medicine and healthcare13491464Claude Opus 4.8
LMArena Text: legal and government13451477Claude Opus 4.8
LMArena Text: business and finance13291458Claude Opus 4.8
FACTS Benchmark SuiteNot measured53.5%Only Claude Opus 4.8 measured
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 Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
Design Arena: websites11371258Claude Opus 4.8
Design Arena: UI components10421255Claude Opus 4.8
Design Arena: game dev10781264Claude Opus 4.8
Design Arena: data viz10981240Claude Opus 4.8
Design Arena: 3D10811222Claude Opus 4.8
Design Arena: all code categories11171255Claude Opus 4.8
Design Arena: SVG10161195Claude Opus 4.8
Design Arena: ASCII art10411277Claude Opus 4.8
LiveBench designNot measured78.8%Only Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Trinity Large Thinking and Claude Opus 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
LiveBench data analysisNot measured66.0%Only Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)Not measured68.1%Only Claude Opus 4.8 measured
SAGE (Vals AI)Not measured54.8%Only Claude Opus 4.8 measured
MedScribe (Vals AI)Not measured85.8%Only Claude Opus 4.8 measured
Vals Multimodal IndexNot measured70.9%Only Claude Opus 4.8 measured
IFBench56.3%62.2%Claude Opus 4.8
Long context reasoning (AA-LCR)38.0%77.7%Claude Opus 4.8
DTBenchNot measured94.9%Only Claude Opus 4.8 measured
LMCANot measured57.5%Only Claude Opus 4.8 measured
Surface Evolver Bench15.6%87.5%Claude Opus 4.8
Furniture assemblyNot measured42.5%Only Claude Opus 4.8 measured
LMArena Text13401461Claude Opus 4.8
LMArena Text: instruction following13261476Claude Opus 4.8
LMArena Text: creative writing13081454Claude Opus 4.8
LMArena VisionNot measured1294Only Claude Opus 4.8 measured
LMArena Text: English13561468Claude Opus 4.8
LMArena Text: non-English13251450Claude Opus 4.8
LMArena Text: Chinese13711506Claude Opus 4.8
LMArena Text: German13561472Claude Opus 4.8
LMArena Text: Japanese13121442Claude Opus 4.8
LMArena Text: Korean13061431Claude Opus 4.8
LMArena Text: French13661481Claude Opus 4.8
LMArena Text: Spanish13271465Claude Opus 4.8
LMArena Text: Russian13381474Claude Opus 4.8
LMArena Text: Polish13121459Claude Opus 4.8
LMArena Text: multi-turn13201476Claude Opus 4.8
LMArena Text: longer queries13181483Claude Opus 4.8
LMArena Text: writing and language13171461Claude Opus 4.8
LMArena Text: entertainment and media12961440Claude Opus 4.8
LMArena Vision: EnglishNot measured1293Only Claude Opus 4.8 measured
LMArena Vision: ChineseNot measured1346Only Claude Opus 4.8 measured
LMArena Vision: reading textNot measured1303Only Claude Opus 4.8 measured
LMArena Vision: humorNot measured1282Only Claude Opus 4.8 measured
LMArena Vision: creative writingNot measured1301Only Claude Opus 4.8 measured
LMArena DocumentNot measured1475Only Claude Opus 4.8 measured
Neither model has a result on the other 11 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 4.8
BenchmarkTrinity Large ThinkingClaude Opus 4.8Leader
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 4.8$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 4.8$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 4.8$1.25Fits 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 Claude Opus 4.8
SpecificationArcee AI Trinity Large ThinkingAnthropic Claude Opus 4.8
MakerArcee AIAnthropic
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026May 27, 2026
Context window262K1M
Input $/Mtok$0.25$5.00
Output $/Mtok$0.80$25.00
Coding indexNot benchmarked65.0
Independent measurements behind it16
Cost per solved taskNot computable$2.17
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Claude Opus 4.8 for coding?

Only Claude Opus 4.8 has a coding score, 65.0 on the Vibe Coding Index; Trinity Large Thinking has none, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 31.3x cheaper ($0.80 vs $25.00 per million).

Which is cheaper, Trinity Large Thinking or Claude Opus 4.8?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Claude Opus 4.8 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.8 only.

Which has the bigger context window, Trinity Large Thinking or Claude Opus 4.8?

Claude Opus 4.8, with 1M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs Claude Opus 4.8 comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Claude Opus 4.8's on 6. Where only one model has a result, the page says so instead of naming a winner.

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