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Trinity Large Thinking vs GPT-4.1 Mini

Trinity Large Thinking leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 10.8 to 10.2, and Trinity Large Thinking costs 2.0x less per output token ($0.80 vs $1.60 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
31
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
12
vs boards won of 43 shared

Trinity Large Thinking or GPT-4.1 Mini: 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 2.0x cheaper ($0.80 vs $1.60 per million) and work measured by LMArena Text: coding or LMArena Text: hard prompts, where it leads.

Shared results
43
Trinity Large Thinking only
9
GPT-4.1 Mini only
43
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 Mini not benchmarked.
Widest category
Agentic work, 37.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Trinity Large Thinking 90.1% against GPT-4.1 Mini 52.9%, 37.1 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GPT-4.1 Mini $1.60 per million output tokens, 2.0x apart.
Context window
Trinity Large Thinking takes 262K tokens, GPT-4.1 Mini 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 MiniTies
Coding31
Intelligence10
Agentic work10
Reasoning32
Math20
Knowledge41
Web design60
General118
All shared boards3112
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for Trinity Large Thinking and GPT-4.1 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
Aider polyglotNot measured32.4%Only GPT-4.1 Mini measured
SWE-bench VerifiedNot measured23.9%Only GPT-4.1 Mini measured
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.820.2Trinity Large Thinking
LiveCodeBench (Vals AI)Not measured58.2%Only GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)Not measured48.3%Only GPT-4.1 Mini measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%7.6%Trinity Large Thinking
WeirdMLNot measured37.6%Only GPT-4.1 Mini measured
LMArena Text: coding13571367GPT-4.1 Mini
LMArena Text: software and IT13621360Trinity 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 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Trinity Large Thinking and GPT-4.1 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
AA Intelligence Index10.810.2Trinity Large Thinking
Epoch Capabilities IndexNot measured134.9Only GPT-4.1 Mini 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 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%52.9%Trinity Large Thinking
Berkeley Function Calling Leaderboard (BFCL)Not measured50.4%Only GPT-4.1 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Trinity Large Thinking and GPT-4.1 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
GPQA DiamondNot measured67.9%Only GPT-4.1 Mini measured
MMMU Pro (Vals AI)Not measured70.5%Only GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)75.2%66.4%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%5.0%Trinity Large Thinking
GPQA Diamond (Epoch AI run)Not measured65.8%Only GPT-4.1 Mini measured
ARC-AGINot measured3.5%Only GPT-4.1 Mini measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Mini measured
Chess puzzlesNot measured1.0%Only GPT-4.1 Mini measured
Mystery game puzzlesNot measured7.0%Only GPT-4.1 Mini measured
LMArena Text: hard prompts13421349GPT-4.1 Mini
LMArena Text: expert13591338Trinity Large Thinking
LMArena Text: hard prompts in English13561362GPT-4.1 Mini
LMArena Vision: diagramsNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: homeworkNot measured1214Only GPT-4.1 Mini measured
Kagi LLM BenchmarkNot measured48.6%Only GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and GPT-4.1 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
AIMENot measured49.4%Only GPT-4.1 Mini measured
MATH 500 (Vals AI)Not measured88.0%Only GPT-4.1 Mini measured
MGSM (Vals AI)Not measured87.8%Only GPT-4.1 Mini measured
AA Math IndexNot measured46.3Only GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)Not measured46.3%Only GPT-4.1 Mini measured
OTIS Mock AIMENot measured44.7%Only GPT-4.1 Mini measured
FrontierMath, tiers 1 to 3Not measured6.7%Only GPT-4.1 Mini measured
MATH level 5Not measured87.3%Only GPT-4.1 Mini measured
LMArena Text: math13651343Trinity Large Thinking
LMArena Text: mathematical work13501347Trinity Large Thinking
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Trinity Large Thinking and GPT-4.1 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
MMLU ProNot measured77.2%Only GPT-4.1 Mini measured
LegalBench (Vals AI)Not measured78.0%Only GPT-4.1 Mini measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%57.9%GPT-4.1 Mini
TaxEval (Vals AI)Not measured71.9%Only GPT-4.1 Mini measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-4.1 Mini measured
MedQA (Vals AI)Not measured84.6%Only GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)Not measured78.1%Only GPT-4.1 Mini measured
SimpleQA VerifiedNot measured12.7%Only GPT-4.1 Mini measured
LMArena Text: science13551328Trinity Large Thinking
LMArena Text: medicine and healthcare13491324Trinity Large Thinking
LMArena Text: legal and government13451343Trinity Large Thinking
LMArena Text: business and finance13291322Trinity 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 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
Design Arena: websites1137997Trinity Large Thinking
Design Arena: UI components1042958Trinity Large Thinking
Design Arena: game dev10781070Trinity Large Thinking
Design Arena: data viz10981034Trinity Large Thinking
Design Arena: 3D1081836Trinity Large Thinking
Design Arena: all code categories1116993Trinity 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 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
IFBench56.3%38.3%Trinity Large Thinking
Long context reasoning (AA-LCR)38.0%44.0%GPT-4.1 Mini
DTBenchNot measured68.8%Only GPT-4.1 Mini measured
LMCANot measured21.1%Only GPT-4.1 Mini measured
Fiction.LiveBenchNot measured44.4%Only GPT-4.1 Mini measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401341GPT-4.1 Mini
LMArena Text: instruction following13261333GPT-4.1 Mini
LMArena Text: creative writing13081299Trinity Large Thinking
LMArena VisionNot measured1181Only GPT-4.1 Mini measured
LMArena Text: English13561356Trinity Large Thinking
LMArena Text: non-English13251318Trinity Large Thinking
LMArena Text: Chinese13711329Trinity Large Thinking
LMArena Text: German13561350Trinity Large Thinking
LMArena Text: Japanese13121290Trinity Large Thinking
LMArena Text: Korean13061298Trinity Large Thinking
LMArena Text: French13661358Trinity Large Thinking
LMArena Text: Spanish13271319Trinity Large Thinking
LMArena Text: Russian13381324Trinity Large Thinking
LMArena Text: Polish13121326GPT-4.1 Mini
LMArena Text: multi-turn13201354GPT-4.1 Mini
LMArena Text: longer queries13181344GPT-4.1 Mini
LMArena Text: writing and language13171319GPT-4.1 Mini
LMArena Text: entertainment and media12961300GPT-4.1 Mini
LMArena Vision: EnglishNot measured1191Only GPT-4.1 Mini measured
LMArena Vision: ChineseNot measured1186Only GPT-4.1 Mini measured
LMArena Vision: reading textNot measured1188Only GPT-4.1 Mini measured
LMArena Vision: humorNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: captioningNot measured1174Only GPT-4.1 Mini measured
LMArena Vision: recognizing thingsNot measured1187Only GPT-4.1 Mini measured
LMArena Vision: creative writingNot measured1182Only GPT-4.1 Mini 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 Mini
BenchmarkTrinity Large ThinkingGPT-4.1 MiniLeader
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 Mini$0.0012Fits 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 Mini$0.025Fits 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 Mini$0.096Fits 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 Mini
SpecificationArcee AI Trinity Large ThinkingOpenAI GPT-4.1 Mini
MakerArcee AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026April 14, 2025
Context window262K1.05M
Input $/Mtok$0.25$0.40
Output $/Mtok$0.80$1.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$1.818
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 2.0x cheaper ($0.80 vs $1.60 per million) and work measured by LMArena Text: coding or LMArena Text: hard prompts, where it leads.

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

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Cost per solved task is known for GPT-4.1 Mini only.

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

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

How many benchmarks is the Trinity Large Thinking vs GPT-4.1 Mini 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 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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