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Trinity Large Thinking vs GPT-5.4 Nano

GPT-5.4 Nano leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 20.7 to 10.8, and Trinity Large Thinking costs 1.6x less per output token ($0.80 vs $1.25 per million). Updated October 21, 2026; 40 benchmarks have a result for both.

Replace Trinity Large Thinking Replace GPT-5.4 Nano
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
2
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
38
vs boards won of 40 shared

Trinity Large Thinking or GPT-5.4 Nano: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 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 1.6x cheaper ($0.80 vs $1.25 per million) and work measured by τ²-Bench Telecom or CaseLaw (Vals AI), where it leads.

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
40
Trinity Large Thinking only
12
GPT-5.4 Nano only
45
Like-for-like categories
7 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-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Agentic work, 14.5 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against GPT-5.4 Nano 76.7%, 38.7 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GPT-5.4 Nano $1.25 per million output tokens, 1.6x apart.
Context window
Trinity Large Thinking takes 262K tokens, GPT-5.4 Nano 400K.

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-5.4 NanoTies
Coding05
Intelligence01
Agentic work11
Reasoning05
Math02
Knowledge15
General019
All shared boards238
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.856.1GPT-5.4 Nano
LiveCodeBench (Vals AI)Not measured84.0%Only GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)Not measured26.1%Only GPT-5.4 Nano measured
Code migration (Vals AI)Not measured14.5%Only GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)Not measured41.6%Only GPT-5.4 Nano measured
SciCode40.6%47.2%GPT-5.4 Nano
Terminal-Bench Hard (Artificial Analysis run)22.7%42.4%GPT-5.4 Nano
WeirdMLNot measured49.2%Only GPT-5.4 Nano measured
ALE-BenchNot measured1004.5Only GPT-5.4 Nano measured
LMArena Text: coding13571404GPT-5.4 Nano
LMArena Text: software and IT13621402GPT-5.4 Nano
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
AA Intelligence Index10.820.7GPT-5.4 Nano
Epoch Capabilities IndexNot measured146.0Only GPT-5.4 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
AA Agentic Index1.016.0GPT-5.4 Nano
Finance Agent (Vals AI)Not measured38.2%Only GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)Not measured5.0%Only GPT-5.4 Nano measured
Legal Research Bench (Vals AI)Not measured6.3%Only GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)Not measured44.8%Only GPT-5.4 Nano measured
τ²-Bench Telecom90.1%76.0%Trinity Large Thinking
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
GPQA DiamondNot measured77.5%Only GPT-5.4 Nano measured
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)75.2%81.7%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)15.8%28.3%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)Not measured78.5%Only GPT-5.4 Nano measured
ARC-AGINot measured51.5%Only GPT-5.4 Nano measured
ARC-AGI-2Not measured5.7%Only GPT-5.4 Nano measured
Chess puzzlesNot measured45.0%Only GPT-5.4 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5.4 Nano measured
LMArena Text: hard prompts13421381GPT-5.4 Nano
LMArena Text: expert13591396GPT-5.4 Nano
LMArena Text: hard prompts in English13561387GPT-5.4 Nano
LMArena Vision: diagramsNot measured1210Only GPT-5.4 Nano measured
LMArena Vision: homeworkNot measured1225Only GPT-5.4 Nano measured
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano 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-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIMENot measured87.8%Only GPT-5.4 Nano measured
FrontierMath, tiers 1 to 3Not measured44.9%Only GPT-5.4 Nano measured
FrontierMath, tier 4Not measured12.2%Only GPT-5.4 Nano measured
ProofBenchNot measured5.0%Only GPT-5.4 Nano measured
LMArena Text: math13651405GPT-5.4 Nano
LMArena Text: mathematical work13501409GPT-5.4 Nano
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
Knowledge benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
MMLU ProNot measured77.2%Only GPT-5.4 Nano measured
LegalBench (Vals AI)Not measured77.9%Only GPT-5.4 Nano measured
CaseLaw (Vals AI)57.9%51.9%Trinity Large Thinking
CorpFin (Vals AI)54.7%61.2%GPT-5.4 Nano
TaxEval (Vals AI)Not measured67.4%Only GPT-5.4 Nano measured
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)Not measured41.0%Only GPT-5.4 Nano measured
SimpleQA VerifiedNot measured11.7%Only GPT-5.4 Nano measured
LMArena Text: science13551374GPT-5.4 Nano
LMArena Text: medicine and healthcare13491369GPT-5.4 Nano
LMArena Text: legal and government13451368GPT-5.4 Nano
LMArena Text: business and finance13291366GPT-5.4 Nano
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
Design Arena: websites1137Not measuredOnly Trinity Large Thinking measured
Design Arena: UI components1045Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1079Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098Not measuredOnly Trinity Large Thinking measured
Design Arena: 3D1082Not measuredOnly Trinity Large Thinking measured
Design Arena: all code categories1117Not measuredOnly Trinity Large Thinking measured
Design Arena: SVG1017Not 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 index019
General benchmarks for Trinity Large Thinking and GPT-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)Not measured77.1%Only GPT-5.4 Nano measured
Vals Multimodal IndexNot measured47.6%Only GPT-5.4 Nano measured
IFBench56.3%75.9%GPT-5.4 Nano
Long context reasoning (AA-LCR)38.0%76.7%GPT-5.4 Nano
DTBenchNot measured80.3%Only GPT-5.4 Nano measured
LMCANot measured36.9%Only GPT-5.4 Nano measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401372GPT-5.4 Nano
LMArena Text: instruction following13261362GPT-5.4 Nano
LMArena Text: creative writing13081315GPT-5.4 Nano
LMArena VisionNot measured1196Only GPT-5.4 Nano measured
LMArena Text: English13561381GPT-5.4 Nano
LMArena Text: non-English13251359GPT-5.4 Nano
LMArena Text: Chinese13711391GPT-5.4 Nano
LMArena Text: German13561368GPT-5.4 Nano
LMArena Text: Japanese13121343GPT-5.4 Nano
LMArena Text: Korean13061321GPT-5.4 Nano
LMArena Text: French13661395GPT-5.4 Nano
LMArena Text: Spanish13271371GPT-5.4 Nano
LMArena Text: Russian13381363GPT-5.4 Nano
LMArena Text: Polish13121366GPT-5.4 Nano
LMArena Text: multi-turn13201382GPT-5.4 Nano
LMArena Text: longer queries13181365GPT-5.4 Nano
LMArena Text: writing and language13171338GPT-5.4 Nano
LMArena Text: entertainment and media12961325GPT-5.4 Nano
LMArena Vision: EnglishNot measured1202Only GPT-5.4 Nano measured
LMArena Vision: ChineseNot measured1232Only GPT-5.4 Nano measured
LMArena Vision: reading textNot measured1204Only GPT-5.4 Nano measured
LMArena Vision: humorNot measured1161Only GPT-5.4 Nano measured
LMArena Vision: recognizing thingsNot measured1141Only GPT-5.4 Nano measured
LMArena Vision: creative writingNot measured1159Only GPT-5.4 Nano measured
Neither model has a result on the other 14 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-5.4 Nano
BenchmarkTrinity Large ThinkingGPT-5.4 NanoLeader
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-5.4 Nano$0.0008Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
GPT-5.4 Nano$0.014Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
GPT-5.4 Nano$0.052Fits in one request

GPT-5.4 Nano 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-5.4 Nano
SpecificationArcee AI Trinity Large ThinkingOpenAI GPT-5.4 Nano
MakerArcee AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026March 17, 2026
Context window262K400K
Input $/Mtok$0.25$0.20
Output $/Mtok$0.80$1.25
Coding indexNot benchmarked44.8
Independent measurements behind it12
Cost per solved taskNot computable$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than GPT-5.4 Nano for coding?

Only GPT-5.4 Nano has a coding score, 44.8 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 1.6x cheaper ($0.80 vs $1.25 per million) and work measured by τ²-Bench Telecom or CaseLaw (Vals AI), where it leads.

Which is cheaper, Trinity Large Thinking or GPT-5.4 Nano?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, Trinity Large Thinking or GPT-5.4 Nano?

GPT-5.4 Nano, with 400K tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs GPT-5.4 Nano comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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