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Trinity Large Thinking vs GPT-4.1

GPT-4.1 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 12.7 to 10.8, and Trinity Large Thinking costs 10.0x less per output token ($0.80 vs $8.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
9
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
34
vs boards won of 43 shared

Trinity Large Thinking or GPT-4.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Trinity Large Thinking for output tokens 10.0x cheaper ($0.80 vs $8.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
43
Trinity Large Thinking only
9
GPT-4.1 only
49
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, GPT-4.1 not benchmarked.
Widest category
Agentic work, 43.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Trinity Large Thinking 90.1% against GPT-4.1 47.1%, 43.0 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GPT-4.1 $8.00 per million output tokens, 10.0x apart.
Context window
Trinity Large Thinking takes 262K tokens, GPT-4.1 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 ThinkingBarsGPT-4.1Ties
Coding12
Intelligence01
Agentic work10
Reasoning23
Math02
Knowledge06
Web design42
General118
All shared boards934
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for Trinity Large Thinking and GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Vals AI)Not measured54.7%Only GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured45.7%Only GPT-4.1 measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%13.6%Trinity Large Thinking
WeirdMLNot measured39.0%Only GPT-4.1 measured
ALE-BenchNot measured558.1Only GPT-4.1 measured
LMArena Text: coding13571390GPT-4.1
LMArena Text: software and IT13621391GPT-4.1
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
SciCodeNot measured4.6%Only GPT-4.1 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
AA Intelligence Index10.812.7GPT-4.1
Epoch Capabilities IndexNot measured136.7Only GPT-4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Trinity Large Thinking and GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%47.1%Trinity Large Thinking
Berkeley Function Calling Leaderboard (BFCL)Not measured54.0%Only GPT-4.1 measured
BrowseComp-PlusNot measured36.4%Only GPT-4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for Trinity Large Thinking and GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
GPQA DiamondNot measured65.4%Only GPT-4.1 measured
MMMU Pro (Vals AI)Not measured72.4%Only GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)75.2%66.6%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%4.2%Trinity Large Thinking
GPQA Diamond (Epoch AI run)Not measured66.9%Only GPT-4.1 measured
ARC-AGINot measured5.5%Only GPT-4.1 measured
ARC-AGI-2Not measured0.4%Only GPT-4.1 measured
SimpleBenchNot measured27.0%Only GPT-4.1 measured
Chess puzzlesNot measured3.0%Only GPT-4.1 measured
LMArena Text: hard prompts13421384GPT-4.1
LMArena Text: expert13591364GPT-4.1
LMArena Text: hard prompts in English13561393GPT-4.1
LMArena Vision: diagramsNot measured1215Only GPT-4.1 measured
LMArena Vision: homeworkNot measured1248Only GPT-4.1 measured
Kagi LLM BenchmarkNot measured52.3%Only GPT-4.1 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 GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
AIMENot measured39.6%Only GPT-4.1 measured
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)Not measured87.7%Only GPT-4.1 measured
AA Math IndexNot measured34.7Only GPT-4.1 measured
AIME 2025 (Artificial Analysis run)Not measured34.7%Only GPT-4.1 measured
OTIS Mock AIMENot measured38.3%Only GPT-4.1 measured
FrontierMath, tiers 1 to 3Not measured6.0%Only GPT-4.1 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math13651369GPT-4.1
LMArena Text: mathematical work13501360GPT-4.1
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 GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
MMLU ProNot measured80.5%Only GPT-4.1 measured
LegalBench (Vals AI)Not measured83.1%Only GPT-4.1 measured
CaseLaw (Vals AI)57.9%69.9%GPT-4.1
CorpFin (Vals AI)54.7%63.0%GPT-4.1
TaxEval (Vals AI)Not measured75.1%Only GPT-4.1 measured
MortgageTax (Vals AI)Not measured65.9%Only GPT-4.1 measured
MedQA (Vals AI)Not measured91.2%Only GPT-4.1 measured
MMLU Pro (Artificial Analysis run)Not measured80.6%Only GPT-4.1 measured
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science13551382GPT-4.1
LMArena Text: medicine and healthcare13491379GPT-4.1
LMArena Text: legal and government13451399GPT-4.1
LMArena Text: business and finance13291369GPT-4.1
FACTS Benchmark SuiteNot measured45.8%Only GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index42
Web design benchmarks for Trinity Large Thinking and GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
Design Arena: websites11371038Trinity Large Thinking
Design Arena: UI components1042997Trinity Large Thinking
Design Arena: game dev10781079GPT-4.1
Design Arena: data viz10981104GPT-4.1
Design Arena: 3D1081849Trinity Large Thinking
Design Arena: all code categories11171025Trinity Large Thinking
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
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for Trinity Large Thinking and GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
IFBench56.3%43.0%Trinity Large Thinking
Long context reasoning (AA-LCR)38.0%68.3%GPT-4.1
DTBenchNot measured68.3%Only GPT-4.1 measured
LMCANot measured25.6%Only GPT-4.1 measured
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401383GPT-4.1
LMArena Text: instruction following13261367GPT-4.1
LMArena Text: creative writing13081363GPT-4.1
LMArena VisionNot measured1210Only GPT-4.1 measured
LMArena Text: English13561392GPT-4.1
LMArena Text: non-English13251370GPT-4.1
LMArena Text: Chinese13711382GPT-4.1
LMArena Text: German13561381GPT-4.1
LMArena Text: Japanese13121319GPT-4.1
LMArena Text: Korean13061338GPT-4.1
LMArena Text: French13661382GPT-4.1
LMArena Text: Spanish13271376GPT-4.1
LMArena Text: Russian13381377GPT-4.1
LMArena Text: Polish13121389GPT-4.1
LMArena Text: multi-turn13201397GPT-4.1
LMArena Text: longer queries13181385GPT-4.1
LMArena Text: writing and language13171371GPT-4.1
LMArena Text: entertainment and media12961365GPT-4.1
LMArena Vision: EnglishNot measured1209Only GPT-4.1 measured
LMArena Vision: ChineseNot measured1226Only GPT-4.1 measured
LMArena Vision: reading textNot measured1218Only GPT-4.1 measured
LMArena Vision: humorNot measured1196Only GPT-4.1 measured
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writingNot measured1210Only GPT-4.1 measured
Neither model has a result on the other 15 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 GPT-4.1
BenchmarkTrinity Large ThinkingGPT-4.1Leader
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
GPT-4.1$0.0060Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
GPT-4.1$0.124Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
GPT-4.1$0.480Fits 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 GPT-4.1
SpecificationArcee AI Trinity Large ThinkingOpenAI GPT-4.1
MakerArcee AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026April 14, 2025
Context window262K1.05M
Input $/Mtok$0.25$2.00
Output $/Mtok$0.80$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than GPT-4.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 10.0x cheaper ($0.80 vs $8.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Trinity Large Thinking or GPT-4.1?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, Trinity Large Thinking or GPT-4.1?

GPT-4.1, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs GPT-4.1 comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and GPT-4.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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