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Trinity Large Thinking vs Gemini 2.5 Pro Preview 06-05

Trinity Large Thinking costs 12.5x less per output token than Gemini 2.5 Pro Preview 06-05 ($0.80 vs $10.00 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
0
Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
2
vs boards won of 2 shared

Trinity Large Thinking or Gemini 2.5 Pro Preview 06-05: 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 work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Shared results
2
Trinity Large Thinking only
50
Gemini 2.5 Pro Preview 06-05 only
13
Like-for-like categories
1 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 2.5 Pro Preview 06-05 not benchmarked.
Widest category
Reasoning, 6.2 points apart on average over 2 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Trinity Large Thinking 75.2% against Gemini 2.5 Pro Preview 06-05 83.6%, 8.4 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Gemini 2.5 Pro Preview 06-05 $10.00 per million output tokens, 12.5x apart.
Context window
Trinity Large Thinking takes 262K tokens, Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05Ties
Reasoning02
All shared boards02
CodingDirectional onlySix of these boards feed the Vibe Coding Index13 boards, none shared
Coding benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
Aider polyglotNot measured83.1%Only Gemini 2.5 Pro Preview 06-05 measured
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Vals AI)Not measured79.2%Only Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)Not measured77.8%Only Gemini 2.5 Pro Preview 06-05 measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
GSO-BenchNot measured3.9%Only Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: coding1357Not measuredOnly Trinity Large Thinking measured
LMArena Text: software and IT1362Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
SciCodeNot measured7.7%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
AA Intelligence Index10.8Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
METR time horizonsNot measured55.4%Only Gemini 2.5 Pro Preview 06-05 measured
Remote Labor IndexNot measured0.8%Only Gemini 2.5 Pro Preview 06-05 measured
DeepResearch BenchNot measured42.8%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
GPQA Diamond (Artificial Analysis run)75.2%83.6%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)15.8%19.9%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)Not measured84.8%Only Gemini 2.5 Pro Preview 06-05 measured
SimpleBenchNot measured62.4%Only Gemini 2.5 Pro Preview 06-05 measured
VPCTNot measured46.4%Only Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard prompts1342Not measuredOnly Trinity Large Thinking measured
LMArena Text: expert1359Not measuredOnly Trinity Large Thinking measured
LMArena Text: hard prompts in English1356Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
LMArena Text: math1365Not measuredOnly Trinity Large Thinking measured
LMArena Text: mathematical work1350Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
MMLU Pro (Artificial Analysis run)Not measured85.8%Only Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: science1355Not measuredOnly Trinity Large Thinking measured
LMArena Text: medicine and healthcare1349Not measuredOnly Trinity Large Thinking measured
LMArena Text: legal and government1345Not measuredOnly Trinity Large Thinking measured
LMArena Text: business and finance1329Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 11 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 Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
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
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
General benchmarks for Trinity Large Thinking and Gemini 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
Fiction.LiveBenchNot measured91.7%Only Gemini 2.5 Pro Preview 06-05 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text1340Not measuredOnly Trinity Large Thinking measured
LMArena Text: instruction following1326Not measuredOnly Trinity Large Thinking measured
LMArena Text: creative writing1308Not measuredOnly Trinity Large Thinking measured
LMArena Text: English1356Not measuredOnly Trinity Large Thinking measured
LMArena Text: non-English1325Not measuredOnly Trinity Large Thinking measured
LMArena Text: Chinese1371Not measuredOnly Trinity Large Thinking measured
LMArena Text: German1356Not measuredOnly Trinity Large Thinking measured
LMArena Text: Japanese1312Not measuredOnly Trinity Large Thinking measured
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: Russian1338Not measuredOnly Trinity Large Thinking measured
LMArena Text: Polish1312Not measuredOnly Trinity Large Thinking measured
LMArena Text: multi-turn1320Not measuredOnly Trinity Large Thinking measured
LMArena Text: longer queries1318Not measuredOnly Trinity Large Thinking measured
LMArena Text: writing and language1317Not measuredOnly Trinity Large Thinking measured
LMArena Text: entertainment and media1296Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 25 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 2.5 Pro Preview 06-05
BenchmarkTrinity Large ThinkingGemini 2.5 Pro Preview 06-05Leader
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 2.5 Pro Preview 06-05$0.0063Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Gemini 2.5 Pro Preview 06-05$0.092Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Gemini 2.5 Pro Preview 06-05$0.350Fits 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 2.5 Pro Preview 06-05
SpecificationArcee AI Trinity Large ThinkingGoogle Gemini 2.5 Pro Preview 06-05
MakerArcee AIGoogle
WeightsOpen weightsNo public weights listed
ReleasedApril 1, 2026June 5, 2025
Context window262K1.05M
Input $/Mtok$0.25$1.25
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 Gemini 2.5 Pro Preview 06-05 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 work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Trinity Large Thinking or Gemini 2.5 Pro Preview 06-05?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Gemini 2.5 Pro Preview 06-05 costs $1.25 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs Gemini 2.5 Pro Preview 06-05 comparison based on?

2 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 2.5 Pro Preview 06-05's on 0. Where only one model has a result, the page says so instead of naming a winner.

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