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Trinity Large Thinking vs DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 24.4 to 10.8, and DeepSeek V4 Flash 0423 costs 2.9x less per output token ($0.28 vs $0.80 per million). Updated October 21, 2026; 42 benchmarks have a result for both.

Replace Trinity Large Thinking Replace DeepSeek V4 Flash 0423
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
0
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
42
vs boards won of 42 shared

Trinity Large Thinking or DeepSeek V4 Flash 0423: which to pick

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

Pick Trinity Large Thinking for work measured by LMArena WebDev or AA Coding Index, where it leads.

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BDeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
42
Trinity Large Thinking only
10
DeepSeek V4 Flash 0423 only
7
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, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Coding, 36.5 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: Trinity Large Thinking 1231 against DeepSeek V4 Flash 0423 1585, 59.0 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 2.9x apart.
Context window
Trinity Large Thinking takes 262K tokens, DeepSeek V4 Flash 0423 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 ThinkingBarsDeepSeek V4 Flash 0423Ties
Coding06
Intelligence01
Agentic work01
Reasoning03
Math02
Knowledge04
Web design08
General017
All shared boards042
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
LMArena WebDev12381582DeepSeek V4 Flash 0423
AA Coding Index25.852.0DeepSeek V4 Flash 0423
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
WeirdMLNot measured45.6%Only DeepSeek V4 Flash 0423 measured
ALE-BenchNot measured678.2Only DeepSeek V4 Flash 0423 measured
LMArena Text: coding13571457DeepSeek V4 Flash 0423
LMArena Text: software and IT13621453DeepSeek V4 Flash 0423
LMArena WebDev: React12311585DeepSeek V4 Flash 0423
LMArena WebDev: HTML12401558DeepSeek V4 Flash 0423
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
AA Intelligence Index10.824.4DeepSeek V4 Flash 0423
Epoch Capabilities IndexNot measured146.1Only DeepSeek V4 Flash 0423 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
AA Agentic Index1.026.3DeepSeek V4 Flash 0423
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
GPQA Diamond (Artificial Analysis run)75.2%Not measuredOnly Trinity Large Thinking measured
Humanity's Last Exam (Artificial Analysis run)15.8%Not measuredOnly Trinity Large Thinking measured
SimpleBenchNot measured46.3%Only DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts13421444DeepSeek V4 Flash 0423
LMArena Text: expert13591441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English13561449DeepSeek V4 Flash 0423
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
LMArena Text: math13651426DeepSeek V4 Flash 0423
LMArena Text: mathematical work13501432DeepSeek V4 Flash 0423
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: science13551446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare13491448DeepSeek V4 Flash 0423
LMArena Text: legal and government13451439DeepSeek V4 Flash 0423
LMArena Text: business and finance13291425DeepSeek V4 Flash 0423
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
Design Arena: websites11371208DeepSeek V4 Flash 0423
Design Arena: UI components10451165DeepSeek V4 Flash 0423
Design Arena: game dev10791197DeepSeek V4 Flash 0423
Design Arena: data viz10981127DeepSeek V4 Flash 0423
Design Arena: 3D10821189DeepSeek V4 Flash 0423
Design Arena: all code categories11171205DeepSeek V4 Flash 0423
Design Arena: SVG10171155DeepSeek V4 Flash 0423
Design Arena: ASCII art10411109DeepSeek V4 Flash 0423
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Trinity Large Thinking and DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
DTBenchNot measured86.4%Only DeepSeek V4 Flash 0423 measured
LMCANot measured35.9%Only DeepSeek V4 Flash 0423 measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401432DeepSeek V4 Flash 0423
LMArena Text: instruction following13261421DeepSeek V4 Flash 0423
LMArena Text: creative writing13081403DeepSeek V4 Flash 0423
LMArena Text: English13561441DeepSeek V4 Flash 0423
LMArena Text: non-English13251419DeepSeek V4 Flash 0423
LMArena Text: Chinese13711463DeepSeek V4 Flash 0423
LMArena Text: German13561419DeepSeek V4 Flash 0423
LMArena Text: Japanese13121389DeepSeek V4 Flash 0423
LMArena Text: Korean13061383DeepSeek V4 Flash 0423
LMArena Text: French13661439DeepSeek V4 Flash 0423
LMArena Text: Spanish13271436DeepSeek V4 Flash 0423
LMArena Text: Russian13381427DeepSeek V4 Flash 0423
LMArena Text: Polish13121436DeepSeek V4 Flash 0423
LMArena Text: multi-turn13201449DeepSeek V4 Flash 0423
LMArena Text: longer queries13181434DeepSeek V4 Flash 0423
LMArena Text: writing and language13171410DeepSeek V4 Flash 0423
LMArena Text: entertainment and media12961400DeepSeek V4 Flash 0423
Neither model has a result on the other 24 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 DeepSeek V4 Flash 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Flash 0423Leader
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
DeepSeek V4 Flash 0423$0.0003Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
DeepSeek V4 Flash 0423$0.0073Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
DeepSeek V4 Flash 0423$0.029Fits in one request

DeepSeek V4 Flash 0423 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 DeepSeek V4 Flash 0423
SpecificationArcee AI Trinity Large ThinkingDeepSeek V4 Flash 0423
MakerArcee AIDeepSeek
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026April 24, 2026
Context window262K1.05M
Input $/Mtok$0.25$0.13
Output $/Mtok$0.80$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than DeepSeek V4 Flash 0423 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Trinity Large Thinking or DeepSeek V4 Flash 0423?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; DeepSeek V4 Flash 0423 costs $0.13 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs DeepSeek V4 Flash 0423 comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and DeepSeek V4 Flash 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.

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