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Trinity Large Thinking vs Gemini 3.5 Flash

Updated October 21, 2026. 49 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 Gemini 3.5 Flash
Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
0
Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
49
vs boards won of 49 shared

Decision reading

Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Pick Trinity Large Thinking when output tokens cost 11.3x less.

Model ATrinity Large ThinkingArcee AI5.4/1001 independent benchmarkNo cost per solved taskModel BGemini 3.5 FlashGoogle42.8/1001 independent benchmark$1.21 per solved task
Shared results
49
Trinity Large Thinking only
3
Gemini 3.5 Flash 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, Gemini 3.5 Flash 42.8 from 1 benchmark.
Widest category
Coding, 30.0 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Trinity Large Thinking 1240 against Gemini 3.5 Flash 1522, 47.0 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Gemini 3.5 Flash $9.00 per million output tokens, 11.3x apart.
Context window
Trinity Large Thinking takes 262K tokens, Gemini 3.5 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 3.5 FlashTies
Coding07
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge05
Web design08
General020
All shared boards049
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
LMArena WebDev12381499Gemini 3.5 Flash
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Vals AI)Not measured87.6%Only Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)Not measured78.8%Only Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)Not measured48.7%Only Gemini 3.5 Flash measured
Code migration (Vals AI)Not measured26.8%Only Gemini 3.5 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured74.2%Only Gemini 3.5 Flash measured
SkillsBench (Vals AI)Not measured52.7%Only Gemini 3.5 Flash measured
SciCode40.6%53.9%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)22.7%46.2%Gemini 3.5 Flash
WeirdMLNot measured62.6%Only Gemini 3.5 Flash measured
ALE-BenchNot measured911.0Only Gemini 3.5 Flash measured
LMArena Text: coding13571493Gemini 3.5 Flash
LMArena Text: software and IT13621494Gemini 3.5 Flash
LMArena WebDev: React12311495Gemini 3.5 Flash
LMArena WebDev: HTML12401522Gemini 3.5 Flash
LMArena WebDev: from an imageNot measured1504Only Gemini 3.5 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
AA Intelligence Index10.833.6Gemini 3.5 Flash
Epoch Capabilities IndexNot measured154.9Only Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
Design Arena: agents building web appsNot measured1202Only Gemini 3.5 Flash measured
Design Arena: agents building full-stack appsNot measured1197Only Gemini 3.5 Flash measured
Design Arena: agents building mobile appsNot measured1175Only Gemini 3.5 Flash measured
Design Arena: agents building Android appsNot measured1190Only Gemini 3.5 Flash measured
Design Arena: agents building Godot gamesNot measured1098Only Gemini 3.5 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.5 Flash measured
Design Arena: HTML slidesNot measured1142Only Gemini 3.5 Flash measured
Design Arena: PowerPoint slidesNot measured1178Only Gemini 3.5 Flash measured
Finance Agent (Vals AI)Not measured57.9%Only Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)Not measured21.6%Only Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)Not measured30.8%Only Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured63.5%Only Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)Not measured5.7%Only Gemini 3.5 Flash measured
τ²-Bench Telecom90.1%95.6%Gemini 3.5 Flash
APEX-AgentsNot measured27.5%Only Gemini 3.5 Flash measured
Vending-Bench 2Not measured$5,396Only Gemini 3.5 Flash measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
GPQA DiamondNot measured92.7%Only Gemini 3.5 Flash measured
MMMU Pro (Vals AI)Not measured88.3%Only Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)75.2%92.2%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)15.8%42.7%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)Not measured92.8%Only Gemini 3.5 Flash measured
ARC-AGINot measured92.5%Only Gemini 3.5 Flash measured
ARC-AGI-2Not measured72.1%Only Gemini 3.5 Flash measured
SimpleBenchNot measured76.7%Only Gemini 3.5 Flash measured
Chess puzzlesNot measured45.0%Only Gemini 3.5 Flash measured
Mystery game puzzlesNot measured32.0%Only Gemini 3.5 Flash measured
EBR-benchNot measured4.8%Only Gemini 3.5 Flash measured
LMArena Text: hard prompts13421488Gemini 3.5 Flash
LMArena Text: expert13591495Gemini 3.5 Flash
LMArena Text: hard prompts in English13561483Gemini 3.5 Flash
LMArena Vision: diagramsNot measured1323Only Gemini 3.5 Flash measured
LMArena Vision: homeworkNot measured1330Only Gemini 3.5 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
OTIS Mock AIMENot measured95.6%Only Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 3Not measured62.8%Only Gemini 3.5 Flash measured
FrontierMath, tier 4Not measured26.8%Only Gemini 3.5 Flash measured
ProofBenchNot measured31.0%Only Gemini 3.5 Flash measured
LMArena Text: math13651504Gemini 3.5 Flash
LMArena Text: mathematical work13501495Gemini 3.5 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 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
MMLU ProNot measured89.5%Only Gemini 3.5 Flash measured
LegalBench (Vals AI)Not measured83.6%Only Gemini 3.5 Flash measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%64.7%Gemini 3.5 Flash
TaxEval (Vals AI)Not measured74.4%Only Gemini 3.5 Flash measured
MortgageTax (Vals AI)Not measured68.1%Only Gemini 3.5 Flash measured
MedCode (Vals AI)Not measured55.8%Only Gemini 3.5 Flash measured
SimpleQA VerifiedNot measured66.2%Only Gemini 3.5 Flash measured
LMArena Text: science13551495Gemini 3.5 Flash
LMArena Text: medicine and healthcare13491483Gemini 3.5 Flash
LMArena Text: legal and government13451488Gemini 3.5 Flash
LMArena Text: business and finance13291467Gemini 3.5 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
Design Arena: websites11371268Gemini 3.5 Flash
Design Arena: UI components10451272Gemini 3.5 Flash
Design Arena: game dev10791263Gemini 3.5 Flash
Design Arena: data viz10981236Gemini 3.5 Flash
Design Arena: 3D10821244Gemini 3.5 Flash
Design Arena: all code categories11171266Gemini 3.5 Flash
Design Arena: SVG10161254Gemini 3.5 Flash
Design Arena: ASCII art10411253Gemini 3.5 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Trinity Large Thinking and Gemini 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 FlashLeader
Public Benefits Bench (Vals AI)Not measured59.5%Only Gemini 3.5 Flash measured
SAGE (Vals AI)Not measured49.9%Only Gemini 3.5 Flash measured
MedScribe (Vals AI)Not measured76.6%Only Gemini 3.5 Flash measured
Vals Multimodal IndexNot measured62.9%Only Gemini 3.5 Flash measured
IFBench56.3%76.3%Gemini 3.5 Flash
Long context reasoning (AA-LCR)38.0%74.3%Gemini 3.5 Flash
DTBenchNot measured94.7%Only Gemini 3.5 Flash measured
LMCANot measured47.1%Only Gemini 3.5 Flash measured
Surface Evolver Bench15.6%58.1%Gemini 3.5 Flash
LMArena Text13401482Gemini 3.5 Flash
LMArena Text: instruction following13261467Gemini 3.5 Flash
LMArena Text: creative writing13081470Gemini 3.5 Flash
LMArena VisionNot measured1308Only Gemini 3.5 Flash measured
LMArena Text: English13561481Gemini 3.5 Flash
LMArena Text: non-English13251475Gemini 3.5 Flash
LMArena Text: Chinese13711527Gemini 3.5 Flash
LMArena Text: German13561494Gemini 3.5 Flash
LMArena Text: Japanese13121486Gemini 3.5 Flash
LMArena Text: Korean13061448Gemini 3.5 Flash
LMArena Text: French13661490Gemini 3.5 Flash
LMArena Text: Spanish13271480Gemini 3.5 Flash
LMArena Text: Russian13381493Gemini 3.5 Flash
LMArena Text: Polish13121516Gemini 3.5 Flash
LMArena Text: multi-turn13201481Gemini 3.5 Flash
LMArena Text: longer queries13181483Gemini 3.5 Flash
LMArena Text: writing and language13171478Gemini 3.5 Flash
LMArena Text: entertainment and media12961459Gemini 3.5 Flash
LMArena Vision: EnglishNot measured1305Only Gemini 3.5 Flash measured
LMArena Vision: ChineseNot measured1377Only Gemini 3.5 Flash measured
LMArena Vision: reading textNot measured1317Only Gemini 3.5 Flash measured
LMArena Vision: humorNot measured1321Only Gemini 3.5 Flash measured
LMArena Vision: creative writingNot measured1301Only Gemini 3.5 Flash measured
LMArena DocumentNot measured1463Only Gemini 3.5 Flash measured
Neither model has a result on the other 13 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 3.5 Flash
BenchmarkTrinity Large ThinkingGemini 3.5 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 3.5 Flash$0.0060Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Gemini 3.5 Flash$0.102Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Gemini 3.5 Flash$0.390Fits 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 3.5 Flash
SpecificationArcee AI Trinity Large ThinkingGoogle Gemini 3.5 Flash
MakerArcee AIGoogle
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026May 19, 2026
Context window262K1.05M
Input $/Mtok$0.25$1.50
Output $/Mtok$0.80$9.00
Coding index5.442.8
Independent measurements behind it11
Cost per solved taskNot computable$1.21
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Gemini 3.5 Flash for coding?

Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 11.3x less.

Which is cheaper, Trinity Large Thinking or Gemini 3.5 Flash?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Gemini 3.5 Flash costs $1.50 and $9.00. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Trinity Large Thinking or Gemini 3.5 Flash?

Gemini 3.5 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs Gemini 3.5 Flash comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Gemini 3.5 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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