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Trinity Large Thinking vs GPT-4.1 Nano

Trinity Large Thinking leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 10.8 to 7.8, and GPT-4.1 Nano costs 2.0x less per output token ($0.40 vs $0.80 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace Trinity Large Thinking Replace GPT-4.1 Nano
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
39
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
vs boards won of 39 shared

Trinity Large Thinking or GPT-4.1 Nano: which to pick

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

Compare them on price, context and the boards below.

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
Trinity Large Thinking only
13
GPT-4.1 Nano only
32
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 Nano not benchmarked.
Widest category
Agentic work, 72.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Trinity Large Thinking 90.1% against GPT-4.1 Nano 17.3%, 72.8 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GPT-4.1 Nano $0.40 per million output tokens, 2.0x apart.
Context window
Trinity Large Thinking takes 262K tokens, GPT-4.1 Nano 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-4.1 NanoTies
Coding40
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge50
Web design60
General150
All shared boards390
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.811.1Trinity Large Thinking
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured32.6%Only GPT-4.1 Nano measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%3.8%Trinity Large Thinking
WeirdMLNot measured19.0%Only GPT-4.1 Nano measured
LMArena Text: coding13571306Trinity Large Thinking
LMArena Text: software and IT13621305Trinity 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 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
AA Intelligence Index10.87.8Trinity Large Thinking
Epoch Capabilities IndexNot measured129.5Only GPT-4.1 Nano 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 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%17.3%Trinity Large Thinking
Berkeley Function Calling Leaderboard (BFCL)Not measured33.1%Only GPT-4.1 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)75.2%51.2%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%3.8%Trinity Large Thinking
GPQA Diamond (Epoch AI run)Not measured48.9%Only GPT-4.1 Nano measured
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts13421286Trinity Large Thinking
LMArena Text: expert13591271Trinity Large Thinking
LMArena Text: hard prompts in English13561293Trinity Large Thinking
Kagi LLM BenchmarkNot measured33.3%Only GPT-4.1 Nano measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math IndexNot measured24.0Only GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)Not measured24.0%Only GPT-4.1 Nano measured
OTIS Mock AIMENot measured28.9%Only GPT-4.1 Nano measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math13651274Trinity Large Thinking
LMArena Text: mathematical work13501274Trinity Large Thinking
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)Not measured61.1%Only GPT-4.1 Nano measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%42.1%Trinity Large Thinking
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)Not measured65.7%Only GPT-4.1 Nano measured
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
LMArena Text: science13551297Trinity Large Thinking
LMArena Text: medicine and healthcare13491276Trinity Large Thinking
LMArena Text: legal and government13451300Trinity Large Thinking
LMArena Text: business and finance13291267Trinity Large Thinking
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
Design Arena: websites1137972Trinity Large Thinking
Design Arena: UI components1042913Trinity Large Thinking
Design Arena: game dev1078970Trinity Large Thinking
Design Arena: data viz1098891Trinity Large Thinking
Design Arena: 3D1081924Trinity Large Thinking
Design Arena: all code categories1117962Trinity 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 index150
General benchmarks for Trinity Large Thinking and GPT-4.1 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 NanoLeader
IFBench56.3%32.0%Trinity Large Thinking
Long context reasoning (AA-LCR)38.0%20.3%Trinity Large Thinking
DTBenchNot measured52.5%Only GPT-4.1 Nano measured
LMCANot measured5.5%Only GPT-4.1 Nano measured
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401285Trinity Large Thinking
LMArena Text: instruction following13261266Trinity Large Thinking
LMArena Text: creative writing13081260Trinity Large Thinking
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English13561303Trinity Large Thinking
LMArena Text: non-English13251260Trinity Large Thinking
LMArena Text: Chinese13711270Trinity Large Thinking
LMArena Text: German13561288Trinity Large Thinking
LMArena Text: Japanese13121198Trinity Large Thinking
LMArena Text: Korean1306Not measuredOnly Trinity Large Thinking measured
LMArena Text: French1366Not measuredOnly Trinity Large Thinking measured
LMArena Text: Spanish1327Not measuredOnly Trinity Large Thinking measured
LMArena Text: Russian13381261Trinity Large Thinking
LMArena Text: Polish1312Not measuredOnly Trinity Large Thinking measured
LMArena Text: multi-turn13201277Trinity Large Thinking
LMArena Text: longer queries13181283Trinity Large Thinking
LMArena Text: writing and language13171261Trinity Large Thinking
LMArena Text: entertainment and media12961243Trinity Large Thinking
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 21 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 Nano
BenchmarkTrinity Large ThinkingGPT-4.1 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-4.1 Nano$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
GPT-4.1 Nano$0.024Fits in one request

GPT-4.1 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-4.1 Nano
SpecificationArcee AI Trinity Large ThinkingOpenAI GPT-4.1 Nano
MakerArcee AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026April 14, 2025
Context window262K1.05M
Input $/Mtok$0.25$0.10
Output $/Mtok$0.80$0.40
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-4.1 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

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

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

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

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

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

39 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 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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