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Trinity Large Thinking vs Claude Sonnet 4.6

Claude Sonnet 4.6 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 30.1 to 10.8, and Trinity Large Thinking costs 18.8x less per output token ($0.80 vs $15.00 per million). Updated October 21, 2026; 51 benchmarks have a result for both.

Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
1
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
50
vs boards won of 51 shared

Trinity Large Thinking or Claude Sonnet 4.6: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 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 18.8x cheaper ($0.80 vs $15.00 per million) and work measured by τ²-Bench Telecom, where it leads.

Shared results
51
Trinity Large Thinking only
1
Claude Sonnet 4.6 only
67
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 Sonnet 4.6 57.3 from 5 benchmarks.
Widest category
Coding, 32.3 points apart on average over 8 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Trinity Large Thinking 1240 against Claude Sonnet 4.6 1527, 47.8 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Claude Sonnet 4.6 $15.00 per million output tokens, 18.8x apart.
Context window
Trinity Large Thinking takes 262K tokens, Claude Sonnet 4.6 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 Sonnet 4.6Ties
Coding08
Intelligence01
Agentic work11
Reasoning05
Math02
Knowledge06
Web design08
General019
All shared boards150
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Trinity Large Thinking and Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
LiveBench codingNot measured66.6%Only Claude Sonnet 4.6 measured
LMArena WebDev12381523Claude Sonnet 4.6
AA Coding Index25.863.0Claude Sonnet 4.6
LiveCodeBench (Vals AI)Not measured82.1%Only Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)Not measured77.4%Only Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)Not measured55.8%Only Claude Sonnet 4.6 measured
Code migration (Vals AI)Not measured39.9%Only Claude Sonnet 4.6 measured
ProgramBench (Vals AI)Not measured0.5%Only Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only Claude Sonnet 4.6 measured
SkillsBench (Vals AI)Not measured49.0%Only Claude Sonnet 4.6 measured
SciCode40.6%50.1%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)22.7%53.0%Claude Sonnet 4.6
Terminal-BenchNot measured53.4%Only Claude Sonnet 4.6 measured
FrontierCodeNot measured24.3%Only Claude Sonnet 4.6 measured
WeirdMLNot measured66.1%Only Claude Sonnet 4.6 measured
LMArena Text: coding13571503Claude Sonnet 4.6
LMArena Text: software and IT13621491Claude Sonnet 4.6
LMArena WebDev: React12311512Claude Sonnet 4.6
LMArena WebDev: HTML12401527Claude Sonnet 4.6
LMArena WebDev: from an imageNot measured1529Only Claude Sonnet 4.6 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 Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
AA Intelligence Index10.830.1Claude Sonnet 4.6
Epoch Capabilities IndexNot measured152.8Only Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Trinity Large Thinking and Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
AA Agentic Index1.031.8Claude Sonnet 4.6
Design Arena: agents building web appsNot measured1190Only Claude Sonnet 4.6 measured
Design Arena: agents building full-stack appsNot measured1213Only Claude Sonnet 4.6 measured
Design Arena: agents building mobile appsNot measured1212Only Claude Sonnet 4.6 measured
Design Arena: agents building Android appsNot measured1196Only Claude Sonnet 4.6 measured
Design Arena: agents building Godot gamesNot measured1226Only Claude Sonnet 4.6 measured
Design Arena: agents building gamesNot measured1177Only Claude Sonnet 4.6 measured
LiveBench researchNot measured63.6%Only Claude Sonnet 4.6 measured
LiveBench browserNot measured68.0%Only Claude Sonnet 4.6 measured
LiveBench long agenticNot measured23.1%Only Claude Sonnet 4.6 measured
Finance Agent (Vals AI)Not measured51.0%Only Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)Not measured25.8%Only Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)Not measured38.5%Only Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)Not measured60.2%Only Claude Sonnet 4.6 measured
τ²-Bench Telecom90.1%79.5%Trinity Large Thinking
APEX-AgentsNot measured43.0%Only Claude Sonnet 4.6 measured
OSWorld 2.0Not measured9.3%Only Claude Sonnet 4.6 measured
DeepResearch BenchNot measured54.9%Only Claude Sonnet 4.6 measured
OSWorldNot measured72.1%Only Claude Sonnet 4.6 measured
Vending-Bench 2Not measured$7,204Only Claude Sonnet 4.6 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
GPQA DiamondNot measured85.6%Only Claude Sonnet 4.6 measured
LiveBench reasoningNot measured86.4%Only Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)Not measured83.6%Only Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)75.2%87.5%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)15.8%33.6%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)Not measured87.4%Only Claude Sonnet 4.6 measured
ARC-AGINot measured86.5%Only Claude Sonnet 4.6 measured
ARC-AGI-2Not measured60.4%Only Claude Sonnet 4.6 measured
Chess puzzlesNot measured23.0%Only Claude Sonnet 4.6 measured
Mystery game puzzlesNot measured16.0%Only Claude Sonnet 4.6 measured
LMArena Text: hard prompts13421485Claude Sonnet 4.6
LMArena Text: expert13591500Claude Sonnet 4.6
LMArena Text: hard prompts in English13561493Claude Sonnet 4.6
LMArena Vision: diagramsNot measured1306Only Claude Sonnet 4.6 measured
LMArena Vision: homeworkNot measured1311Only Claude Sonnet 4.6 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
AIMENot measured92.3%Only Claude Sonnet 4.6 measured
OTIS Mock AIMENot measured85.8%Only Claude Sonnet 4.6 measured
ProofBenchNot measured45.0%Only Claude Sonnet 4.6 measured
LMArena Text: math13651462Claude Sonnet 4.6
LMArena Text: mathematical work13501483Claude Sonnet 4.6
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Trinity Large Thinking and Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
MMLU ProNot measured87.3%Only Claude Sonnet 4.6 measured
LegalBench (Vals AI)Not measured82.1%Only Claude Sonnet 4.6 measured
CaseLaw (Vals AI)57.9%64.0%Claude Sonnet 4.6
CorpFin (Vals AI)54.7%65.3%Claude Sonnet 4.6
TaxEval (Vals AI)Not measured77.1%Only Claude Sonnet 4.6 measured
MortgageTax (Vals AI)Not measured67.7%Only Claude Sonnet 4.6 measured
MedQA (Vals AI)Not measured92.1%Only Claude Sonnet 4.6 measured
SimpleQA VerifiedNot measured35.5%Only Claude Sonnet 4.6 measured
LMArena Text: science13551474Claude Sonnet 4.6
LMArena Text: medicine and healthcare13491451Claude Sonnet 4.6
LMArena Text: legal and government13451470Claude Sonnet 4.6
LMArena Text: business and finance13291464Claude Sonnet 4.6
FACTS Benchmark SuiteNot measured37.0%Only Claude Sonnet 4.6 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 Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
Design Arena: websites11371285Claude Sonnet 4.6
Design Arena: UI components10451272Claude Sonnet 4.6
Design Arena: game dev10791259Claude Sonnet 4.6
Design Arena: data viz10981277Claude Sonnet 4.6
Design Arena: 3D10821234Claude Sonnet 4.6
Design Arena: all code categories11171276Claude Sonnet 4.6
Design Arena: SVG10171197Claude Sonnet 4.6
Design Arena: ASCII art10411235Claude Sonnet 4.6
LiveBench designNot measured71.8%Only Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Trinity Large Thinking and Claude Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
LiveBench data analysisNot measured76.1%Only Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)Not measured62.5%Only Claude Sonnet 4.6 measured
SAGE (Vals AI)Not measured46.6%Only Claude Sonnet 4.6 measured
Vals Multimodal IndexNot measured60.6%Only Claude Sonnet 4.6 measured
IFBench56.3%56.6%Claude Sonnet 4.6
Long context reasoning (AA-LCR)38.0%80.0%Claude Sonnet 4.6
DTBenchNot measured89.9%Only Claude Sonnet 4.6 measured
LMCANot measured46.5%Only Claude Sonnet 4.6 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
ExploitBenchNot measured23.6%Only Claude Sonnet 4.6 measured
LMArena Text13401458Claude Sonnet 4.6
LMArena Text: instruction following13261476Claude Sonnet 4.6
LMArena Text: creative writing13081435Claude Sonnet 4.6
LMArena VisionNot measured1283Only Claude Sonnet 4.6 measured
LMArena Text: English13561472Claude Sonnet 4.6
LMArena Text: non-English13251440Claude Sonnet 4.6
LMArena Text: Chinese13711491Claude Sonnet 4.6
LMArena Text: German13561428Claude Sonnet 4.6
LMArena Text: Japanese13121420Claude Sonnet 4.6
LMArena Text: Korean13061410Claude Sonnet 4.6
LMArena Text: French13661465Claude Sonnet 4.6
LMArena Text: Spanish13271464Claude Sonnet 4.6
LMArena Text: Russian13381440Claude Sonnet 4.6
LMArena Text: Polish13121443Claude Sonnet 4.6
LMArena Text: multi-turn13201464Claude Sonnet 4.6
LMArena Text: longer queries13181479Claude Sonnet 4.6
LMArena Text: writing and language13171444Claude Sonnet 4.6
LMArena Text: entertainment and media12961431Claude Sonnet 4.6
LMArena Vision: EnglishNot measured1298Only Claude Sonnet 4.6 measured
LMArena Vision: ChineseNot measured1307Only Claude Sonnet 4.6 measured
LMArena Vision: reading textNot measured1296Only Claude Sonnet 4.6 measured
LMArena Vision: humorNot measured1248Only Claude Sonnet 4.6 measured
LMArena Vision: recognizing thingsNot measured1195Only Claude Sonnet 4.6 measured
LMArena Vision: creative writingNot measured1272Only Claude Sonnet 4.6 measured
LMArena DocumentNot measured1482Only Claude Sonnet 4.6 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 Sonnet 4.6
BenchmarkTrinity Large ThinkingClaude Sonnet 4.6Leader
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 Sonnet 4.6$0.011Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Claude Sonnet 4.6$0.195Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Claude Sonnet 4.6$0.750Fits 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 Sonnet 4.6
SpecificationArcee AI Trinity Large ThinkingAnthropic Claude Sonnet 4.6
MakerArcee AIAnthropic
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026February 17, 2026
Context window262K1M
Input $/Mtok$0.25$3.00
Output $/Mtok$0.80$15.00
Coding indexNot benchmarked57.3
Independent measurements behind it15
Cost per solved taskNot computable$1.68
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Claude Sonnet 4.6 for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 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 18.8x cheaper ($0.80 vs $15.00 per million) and work measured by τ²-Bench Telecom, where it leads.

Which is cheaper, Trinity Large Thinking or Claude Sonnet 4.6?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Claude Sonnet 4.6 costs $3.00 and $15.00. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Trinity Large Thinking or Claude Sonnet 4.6?

Claude Sonnet 4.6, with 1M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs Claude Sonnet 4.6 comparison based on?

51 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 Sonnet 4.6's on 5. Where only one model has a result, the page says so instead of naming a winner.

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