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Trinity Large Thinking vs GPT-4o (2024-08-06)

Trinity Large Thinking leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 10.8 to 7.7, and Trinity Large Thinking costs 12.5x less per output token ($0.80 vs $10.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
34
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
1
vs boards won of 35 shared

Trinity Large Thinking or GPT-4o (2024-08-06): 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 12.5x cheaper ($0.80 vs $10.00 per million) and a larger context window (262K against 128K tokens).

Shared results
35
Trinity Large Thinking only
17
GPT-4o (2024-08-06) only
23
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-4o (2024-08-06) not benchmarked.
Widest category
Agentic work, 61.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Trinity Large Thinking 90.1% against GPT-4o (2024-08-06) 28.9%, 61.1 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GPT-4o (2024-08-06) $10.00 per million output tokens, 12.5x apart.
Context window
Trinity Large Thinking takes 262K tokens, GPT-4o (2024-08-06) 128K.

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-4o (2024-08-06)Ties
Coding30
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge50
General171
All shared boards341
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Artificial Analysis run)Not measured31.7%Only GPT-4o (2024-08-06) measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%8.3%Trinity Large Thinking
LMArena Text: coding13571283Trinity Large Thinking
LMArena Text: software and IT13621278Trinity Large Thinking
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
AA Intelligence Index10.87.7Trinity Large Thinking
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%28.9%Trinity Large Thinking
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
MMMU Pro (Vals AI)Not measured64.0%Only GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)75.2%52.1%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%2.3%Trinity Large Thinking
GPQA Diamond (Epoch AI run)Not measured49.2%Only GPT-4o (2024-08-06) measured
SimpleBenchNot measured17.8%Only GPT-4o (2024-08-06) measured
Chess puzzlesNot measured6.0%Only GPT-4o (2024-08-06) measured
LMArena Text: hard prompts13421264Trinity Large Thinking
LMArena Text: expert13591241Trinity Large Thinking
LMArena Text: hard prompts in English13561277Trinity Large Thinking
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
AIMENot measured14.0%Only GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
OTIS Mock AIMENot measured6.4%Only GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 3Not measured0.4%Only GPT-4o (2024-08-06) measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math13651285Trinity Large Thinking
LMArena Text: mathematical work13501283Trinity Large Thinking
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
MMLU ProNot measured74.1%Only GPT-4o (2024-08-06) measured
LegalBench (Vals AI)Not measured80.1%Only GPT-4o (2024-08-06) measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%39.4%Trinity Large Thinking
TaxEval (Vals AI)Not measured71.1%Only GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)Not measured61.0%Only GPT-4o (2024-08-06) measured
MedQA (Vals AI)Not measured88.2%Only GPT-4o (2024-08-06) measured
SimpleQA VerifiedNot measured26.0%Only GPT-4o (2024-08-06) measured
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
LMArena Text: science13551274Trinity Large Thinking
LMArena Text: medicine and healthcare13491252Trinity Large Thinking
LMArena Text: legal and government13451275Trinity Large Thinking
LMArena Text: business and finance13291232Trinity Large Thinking
Neither model has a result on the other 5 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-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
Design Arena: websites1137Not measuredOnly Trinity Large Thinking measured
Design Arena: UI components1042Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1078Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098Not measuredOnly Trinity Large Thinking measured
Design Arena: 3D1081Not measuredOnly Trinity Large Thinking measured
Design Arena: all code categories1117Not measuredOnly Trinity Large Thinking measured
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 index171
General benchmarks for Trinity Large Thinking and GPT-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
IFBench56.3%36.0%Trinity Large Thinking
Long context reasoning (AA-LCR)38.0%41.0%GPT-4o (2024-08-06)
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401283Trinity Large Thinking
LMArena Text: instruction following13261267Trinity Large Thinking
LMArena Text: creative writing13081274Trinity Large Thinking
LMArena VisionNot measured1065Only GPT-4o (2024-08-06) measured
LMArena Text: English13561297Trinity Large Thinking
LMArena Text: non-English13251262Trinity Large Thinking
LMArena Text: Chinese13711254Trinity Large Thinking
LMArena Text: German13561257Trinity Large Thinking
LMArena Text: Japanese13121234Trinity Large Thinking
LMArena Text: Korean13061218Trinity Large Thinking
LMArena Text: French13661263Trinity Large Thinking
LMArena Text: Spanish13271269Trinity Large Thinking
LMArena Text: Russian13381272Trinity Large Thinking
LMArena Text: Polish1312Not measuredOnly Trinity Large Thinking measured
LMArena Text: multi-turn13201279Trinity Large Thinking
LMArena Text: longer queries13181283Trinity Large Thinking
LMArena Text: writing and language13171290Trinity Large Thinking
LMArena Text: entertainment and media12961267Trinity Large Thinking
LMArena Vision: EnglishNot measured1072Only GPT-4o (2024-08-06) measured
LMArena Vision: ChineseNot measured1009Only GPT-4o (2024-08-06) measured
Neither model has a result on the other 23 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-4o (2024-08-06)
BenchmarkTrinity Large ThinkingGPT-4o (2024-08-06)Leader
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-4o (2024-08-06)$0.0075Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
GPT-4o (2024-08-06)$0.600Exceeds the context window

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-4o (2024-08-06)
SpecificationArcee AI Trinity Large ThinkingOpenAI GPT-4o (2024-08-06)
MakerArcee AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026August 6, 2024
Context window262K128K
Input $/Mtok$0.25$2.50
Output $/Mtok$0.80$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than GPT-4o (2024-08-06) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 12.5x cheaper ($0.80 vs $10.00 per million) and a larger context window (262K against 128K tokens).

Which is cheaper, Trinity Large Thinking or GPT-4o (2024-08-06)?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or GPT-4o (2024-08-06)?

Trinity Large Thinking, with 262K tokens against 128K.

How many benchmarks is the Trinity Large Thinking vs GPT-4o (2024-08-06) comparison based on?

35 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-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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