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Trinity Large Thinking vs GPT-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 GPT-5
Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
2
GPT-5OpenAI
Coding
72.2
Overall
23.0
Output $/M
$10.00
46
vs boards won of 48 shared

Decision reading

Pick GPT-5 for coding: it scores 72.2 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Pick Trinity Large Thinking when output tokens cost 12.5x less, or when what matters is τ²-Bench Telecom or Design Arena: 3D, where it leads.

Model ATrinity Large ThinkingArcee AI5.4/1001 independent benchmarkNo cost per solved taskModel BGPT-5OpenAI72.2/1003 independent benchmarks$0.39 per solved task
Shared results
48
Trinity Large Thinking only
4
GPT-5 only
61
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, GPT-5 72.2 from 3 benchmarks.
Widest category
Coding, 17.8 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against GPT-5 78.2%, 40.2 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GPT-5 $10.00 per million output tokens, 12.5x apart.
Context window
Trinity Large Thinking takes 262K tokens, GPT-5 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-5Ties
Coding06
Intelligence01
Agentic work10
Reasoning05
Math02
Knowledge06
Web design17
General019
All shared boards246
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
Coding benchmarks for Trinity Large Thinking and GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
Aider polyglotNot measured88.0%Only GPT-5 measured
SWE-bench VerifiedNot measured74.4%Only GPT-5 measured
LMArena WebDev12381418GPT-5
AA Coding Index25.837.8GPT-5
LiveCodeBench (Vals AI)Not measured85.9%Only GPT-5 measured
SWE-bench Verified (Vals AI)Not measured69.0%Only GPT-5 measured
Vibe Code Bench (Vals AI)Not measured20.1%Only GPT-5 measured
LiveCodeBench (Artificial Analysis run)Not measured84.6%Only GPT-5 measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%37.9%GPT-5
Terminal-BenchNot measured49.6%Only GPT-5 measured
GSO-BenchNot measured6.9%Only GPT-5 measured
WeirdMLNot measured60.7%Only GPT-5 measured
ALE-BenchNot measured807.6Only GPT-5 measured
LMArena Text: coding13571436GPT-5
LMArena Text: software and IT13621420GPT-5
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML12401427GPT-5
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
AA Intelligence Index10.823.0GPT-5
Epoch Capabilities IndexNot measured150.0Only GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Trinity Large Thinking and GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%86.5%Trinity Large Thinking
METR time horizonsNot measured69.6%Only GPT-5 measured
Remote Labor IndexNot measured1.7%Only GPT-5 measured
GDPvalNot measured34.8%Only GPT-5 measured
BALROGNot measured32.8%Only GPT-5 measured
DeepResearch BenchNot measured49.6%Only GPT-5 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
GPQA DiamondNot measured85.6%Only GPT-5 measured
MMMU Pro (Vals AI)Not measured81.5%Only GPT-5 measured
GPQA Diamond (Artificial Analysis run)75.2%85.4%GPT-5
Humanity's Last Exam (Artificial Analysis run)15.8%28.5%GPT-5
GPQA Diamond (Epoch AI run)Not measured86.2%Only GPT-5 measured
ARC-AGINot measured65.7%Only GPT-5 measured
ARC-AGI-2Not measured9.9%Only GPT-5 measured
SimpleBenchNot measured56.7%Only GPT-5 measured
Chess puzzlesNot measured36.0%Only GPT-5 measured
Mystery game puzzlesNot measured23.0%Only GPT-5 measured
EBR-benchNot measured12.7%Only GPT-5 measured
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts13421415GPT-5
LMArena Text: expert13591419GPT-5
LMArena Text: hard prompts in English13561419GPT-5
LMArena Vision: diagramsNot measured1252Only GPT-5 measured
LMArena Vision: homeworkNot measured1278Only GPT-5 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 GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
AIMENot measured93.4%Only GPT-5 measured
MATH 500 (Vals AI)Not measured96.0%Only GPT-5 measured
MGSM (Vals AI)Not measured92.8%Only GPT-5 measured
AA Math IndexNot measured94.3Only GPT-5 measured
AIME 2025 (Artificial Analysis run)Not measured94.3%Only GPT-5 measured
OTIS Mock AIMENot measured91.4%Only GPT-5 measured
FrontierMath, tiers 1 to 3Not measured55.4%Only GPT-5 measured
FrontierMath, tier 4Not measured22.0%Only GPT-5 measured
ProofBenchNot measured18.0%Only GPT-5 measured
MATH level 5Not measured98.1%Only GPT-5 measured
LMArena Text: math13651407GPT-5
LMArena Text: mathematical work13501405GPT-5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Trinity Large Thinking and GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
MMLU ProNot measured86.5%Only GPT-5 measured
LegalBench (Vals AI)Not measured86.0%Only GPT-5 measured
CaseLaw (Vals AI)57.9%66.5%GPT-5
CorpFin (Vals AI)54.7%61.1%GPT-5
TaxEval (Vals AI)Not measured73.4%Only GPT-5 measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-5 measured
MedQA (Vals AI)Not measured96.3%Only GPT-5 measured
MedCode (Vals AI)Not measured49.6%Only GPT-5 measured
MMLU Pro (Artificial Analysis run)Not measured87.1%Only GPT-5 measured
SimpleQA VerifiedNot measured50.1%Only GPT-5 measured
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science13551416GPT-5
LMArena Text: medicine and healthcare13491413GPT-5
LMArena Text: legal and government13451431GPT-5
LMArena Text: business and finance13291400GPT-5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Trinity Large Thinking and GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
Design Arena: websites11371185GPT-5
Design Arena: UI components10451179GPT-5
Design Arena: game dev10791185GPT-5
Design Arena: data viz10981221GPT-5
Design Arena: 3D10821056Trinity Large Thinking
Design Arena: all code categories11171168GPT-5
Design Arena: SVG10161188GPT-5
Design Arena: ASCII art10411140GPT-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 GPT-5
BenchmarkTrinity Large ThinkingGPT-5Leader
SAGE (Vals AI)Not measured43.7%Only GPT-5 measured
MedScribe (Vals AI)Not measured83.7%Only GPT-5 measured
IFBench56.3%73.1%GPT-5
Long context reasoning (AA-LCR)38.0%78.2%GPT-5
DTBenchNot measured90.7%Only GPT-5 measured
LMCANot measured40.0%Only GPT-5 measured
Fiction.LiveBenchNot measured97.2%Only GPT-5 measured
Creative writing (Lech Mazur)Not measured86.0%Only GPT-5 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401406GPT-5
LMArena Text: instruction following13261388GPT-5
LMArena Text: creative writing13081365GPT-5
LMArena VisionNot measured1232Only GPT-5 measured
LMArena Text: English13561409GPT-5
LMArena Text: non-English13251397GPT-5
LMArena Text: Chinese13711422GPT-5
LMArena Text: German13561416GPT-5
LMArena Text: Japanese13121409GPT-5
LMArena Text: Korean13061360GPT-5
LMArena Text: French13661409GPT-5
LMArena Text: Spanish13271399GPT-5
LMArena Text: Russian13381407GPT-5
LMArena Text: Polish13121431GPT-5
LMArena Text: multi-turn13201426GPT-5
LMArena Text: longer queries13181399GPT-5
LMArena Text: writing and language13171384GPT-5
LMArena Text: entertainment and media12961379GPT-5
LMArena Vision: EnglishNot measured1231Only GPT-5 measured
LMArena Vision: ChineseNot measured1267Only GPT-5 measured
LMArena Vision: reading textNot measured1246Only GPT-5 measured
LMArena Vision: humorNot measured1219Only GPT-5 measured
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing thingsNot measured1263Only GPT-5 measured
LMArena Vision: creative writingNot measured1210Only GPT-5 measured
Neither model has a result on the other 12 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
BenchmarkTrinity Large ThinkingGPT-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
GPT-5$0.0063Fits 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$0.092Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
GPT-5$0.350Fits 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-5
SpecificationArcee AI Trinity Large ThinkingOpenAI GPT-5
MakerArcee AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026August 7, 2025
Context window262K400K
Input $/Mtok$0.25$1.25
Output $/Mtok$0.80$10.00
Coding index5.472.2
Independent measurements behind it13
Cost per solved taskNot computable$0.39
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than GPT-5 for coding?

Pick GPT-5 for coding: it scores 72.2 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 12.5x less, or when what matters is τ²-Bench Telecom or Design Arena: 3D, where it leads.

Which is cheaper, Trinity Large Thinking or GPT-5?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-5 costs $1.25 and $10.00. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, Trinity Large Thinking or GPT-5?

GPT-5, with 400K tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs GPT-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 GPT-5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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