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Trinity Large Thinking vs Gemini 3.6 Flash

Gemini 3.6 Flash leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 34.0 to 10.8, and Trinity Large Thinking costs 4.7x less per output token ($0.80 vs $3.75 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace Trinity Large Thinking Replace Gemini 3.6 Flash
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
0
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
46
vs boards won of 46 shared

Trinity Large Thinking or Gemini 3.6 Flash: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 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 4.7x cheaper ($0.80 vs $3.75 per million).

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task
Shared results
46
Trinity Large Thinking only
6
Gemini 3.6 Flash only
63
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, Gemini 3.6 Flash 62.5 from 4 benchmarks.
Widest category
Coding, 34.8 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Trinity Large Thinking 1240 against Gemini 3.6 Flash 1547, 51.2 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Gemini 3.6 Flash $3.75 per million output tokens, 4.7x apart.
Context window
Trinity Large Thinking takes 262K tokens, Gemini 3.6 Flash 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 ThinkingBarsGemini 3.6 FlashTies
Coding07
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge05
Web design07
General018
All shared boards046
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
LMArena WebDev12381538Gemini 3.6 Flash
AA Coding Index25.869.2Gemini 3.6 Flash
LiveCodeBench (Vals AI)Not measured88.1%Only Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)Not measured79.6%Only Gemini 3.6 Flash measured
Vibe Code Bench (Vals AI)Not measured64.0%Only Gemini 3.6 Flash measured
Code migration (Vals AI)Not measured30.9%Only Gemini 3.6 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.6 Flash measured
IOI (Vals AI)Not measured35.1%Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured73.8%Only Gemini 3.6 Flash measured
CyberBench (Vals AI)Not measured45.4%Only Gemini 3.6 Flash measured
SciCode40.6%53.4%Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
FrontierCodeNot measured34.4%Only Gemini 3.6 Flash measured
WeirdMLNot measured56.1%Only Gemini 3.6 Flash measured
ALE-BenchNot measured715.5Only Gemini 3.6 Flash measured
LMArena Text: coding13571491Gemini 3.6 Flash
LMArena Text: software and IT13621492Gemini 3.6 Flash
LMArena WebDev: React12311528Gemini 3.6 Flash
LMArena WebDev: HTML12401547Gemini 3.6 Flash
LMArena WebDev: from an imageNot measured1545Only Gemini 3.6 Flash measured
SciCodeNot measured10.8%Only Gemini 3.6 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
AA Intelligence Index10.834.0Gemini 3.6 Flash
Epoch Capabilities IndexNot measured154.5Only Gemini 3.6 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
AA Agentic Index1.029.0Gemini 3.6 Flash
Design Arena: agents building web appsNot measured1197Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack appsNot measured1181Only Gemini 3.6 Flash measured
Design Arena: agents building mobile appsNot measured1198Only Gemini 3.6 Flash measured
Design Arena: agents building Android appsNot measured1204Only Gemini 3.6 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.6 Flash measured
Design Arena: HTML slidesNot measured1099Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slidesNot measured1121Only Gemini 3.6 Flash measured
Design Arena: spreadsheetsNot measured1071Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)Not measured56.3%Only Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)Not measured18.0%Only Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)Not measured25.0%Only Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured65.4%Only Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)Not measured58.5%Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Gemini 3.6 Flash measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
APEX-AgentsNot measured46.9%Only Gemini 3.6 Flash measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
GPQA DiamondNot measured93.4%Only Gemini 3.6 Flash measured
MMMU Pro (Vals AI)Not measured88.4%Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)75.2%92.8%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)15.8%40.8%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)Not measured94.1%Only Gemini 3.6 Flash measured
ARC-AGINot measured91.2%Only Gemini 3.6 Flash measured
ARC-AGI-2Not measured60.4%Only Gemini 3.6 Flash measured
Chess puzzlesNot measured42.0%Only Gemini 3.6 Flash measured
Mystery game puzzlesNot measured30.0%Only Gemini 3.6 Flash measured
LMArena Text: hard prompts13421486Gemini 3.6 Flash
LMArena Text: expert13591490Gemini 3.6 Flash
LMArena Text: hard prompts in English13561484Gemini 3.6 Flash
LMArena Vision: diagramsNot measured1314Only Gemini 3.6 Flash measured
LMArena Vision: homeworkNot measured1314Only Gemini 3.6 Flash measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
OTIS Mock AIMENot measured94.2%Only Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 3Not measured58.9%Only Gemini 3.6 Flash measured
FrontierMath, tier 4Not measured22.0%Only Gemini 3.6 Flash measured
ProofBenchNot measured36.0%Only Gemini 3.6 Flash measured
LMArena Text: math13651508Gemini 3.6 Flash
LMArena Text: mathematical work13501492Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
MMLU ProNot measured89.3%Only Gemini 3.6 Flash measured
LegalBench (Vals AI)Not measured86.7%Only Gemini 3.6 Flash measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%63.3%Gemini 3.6 Flash
TaxEval (Vals AI)Not measured74.9%Only Gemini 3.6 Flash measured
MortgageTax (Vals AI)Not measured67.6%Only Gemini 3.6 Flash measured
MedCode (Vals AI)Not measured53.1%Only Gemini 3.6 Flash measured
SimpleQA VerifiedNot measured66.2%Only Gemini 3.6 Flash measured
LMArena Text: science13551489Gemini 3.6 Flash
LMArena Text: medicine and healthcare13491469Gemini 3.6 Flash
LMArena Text: legal and government13451479Gemini 3.6 Flash
LMArena Text: business and finance13291464Gemini 3.6 Flash
FACTS Benchmark SuiteNot measured65.3%Only Gemini 3.6 Flash measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
Design Arena: websites11371300Gemini 3.6 Flash
Design Arena: UI components10421294Gemini 3.6 Flash
Design Arena: game dev10781263Gemini 3.6 Flash
Design Arena: data viz10981289Gemini 3.6 Flash
Design Arena: 3D10811271Gemini 3.6 Flash
Design Arena: all code categories11171289Gemini 3.6 Flash
Design Arena: SVG1016Not measuredOnly Trinity Large Thinking measured
Design Arena: ASCII art10411281Gemini 3.6 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Trinity Large Thinking and Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
Public Benefits Bench (Vals AI)Not measured56.6%Only Gemini 3.6 Flash measured
SAGE (Vals AI)Not measured48.7%Only Gemini 3.6 Flash measured
MedScribe (Vals AI)Not measured79.7%Only Gemini 3.6 Flash measured
Vals Multimodal IndexNot measured65.1%Only Gemini 3.6 Flash measured
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%80.0%Gemini 3.6 Flash
DTBenchNot measured95.5%Only Gemini 3.6 Flash measured
LMCANot measured44.9%Only Gemini 3.6 Flash measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
Furniture assemblyNot measured23.3%Only Gemini 3.6 Flash measured
LMArena Text13401480Gemini 3.6 Flash
LMArena Text: instruction following13261467Gemini 3.6 Flash
LMArena Text: creative writing13081466Gemini 3.6 Flash
LMArena VisionNot measured1299Only Gemini 3.6 Flash measured
LMArena Text: English13561482Gemini 3.6 Flash
LMArena Text: non-English13251470Gemini 3.6 Flash
LMArena Text: Chinese13711531Gemini 3.6 Flash
LMArena Text: German13561480Gemini 3.6 Flash
LMArena Text: Japanese13121475Gemini 3.6 Flash
LMArena Text: Korean13061429Gemini 3.6 Flash
LMArena Text: French13661503Gemini 3.6 Flash
LMArena Text: Spanish13271476Gemini 3.6 Flash
LMArena Text: Russian13381488Gemini 3.6 Flash
LMArena Text: Polish13121473Gemini 3.6 Flash
LMArena Text: multi-turn13201481Gemini 3.6 Flash
LMArena Text: longer queries13181475Gemini 3.6 Flash
LMArena Text: writing and language13171470Gemini 3.6 Flash
LMArena Text: entertainment and media12961456Gemini 3.6 Flash
LMArena Vision: EnglishNot measured1295Only Gemini 3.6 Flash measured
LMArena Vision: ChineseNot measured1357Only Gemini 3.6 Flash measured
LMArena Vision: reading textNot measured1312Only Gemini 3.6 Flash measured
LMArena Vision: humorNot measured1289Only Gemini 3.6 Flash measured
LMArena Vision: creative writingNot measured1278Only Gemini 3.6 Flash measured
LMArena DocumentNot measured1456Only Gemini 3.6 Flash 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 Gemini 3.6 Flash
BenchmarkTrinity Large ThinkingGemini 3.6 FlashLeader
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
Gemini 3.6 Flash$0.0026Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Gemini 3.6 Flash$0.049Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Gemini 3.6 Flash$0.188Fits 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 Gemini 3.6 Flash
SpecificationArcee AI Trinity Large ThinkingGoogle Gemini 3.6 Flash
MakerArcee AIGoogle
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026July 21, 2026
Context window262K1.05M
Input $/Mtok$0.25$0.75
Output $/Mtok$0.80$3.75
Coding indexNot benchmarked62.5
Independent measurements behind it14
Cost per solved taskNot computable$1.49
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Gemini 3.6 Flash for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 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 4.7x cheaper ($0.80 vs $3.75 per million).

Which is cheaper, Trinity Large Thinking or Gemini 3.6 Flash?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Gemini 3.6 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Trinity Large Thinking or Gemini 3.6 Flash?

Gemini 3.6 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs Gemini 3.6 Flash comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Gemini 3.6 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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