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Trinity Large Thinking vs DeepSeek V4 Pro 0423

DeepSeek V4 Pro 0423 leads Trinity Large Thinking on the Artificial Analysis Intelligence Index, 30.4 to 10.8, and Trinity Large Thinking costs 3.4x less per output token ($0.80 vs $2.716 per million). Updated October 21, 2026; 45 benchmarks have a result for both.

Replace Trinity Large Thinking Replace DeepSeek V4 Pro 0423
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
0
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.716
45
vs boards won of 45 shared

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

Only DeepSeek V4 Pro 0423 has a coding score, 38.7 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 3.4x cheaper ($0.80 vs $2.716 per million).

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BDeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task
Shared results
45
Trinity Large Thinking only
7
DeepSeek V4 Pro 0423 only
39
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 Pro 0423 38.7 from 5 benchmarks.
Widest category
Coding, 27.9 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: Trinity Large Thinking 1231 against DeepSeek V4 Pro 0423 1441, 35.0 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against DeepSeek V4 Pro 0423 $2.716 per million output tokens, 3.4x apart.
Context window
Trinity Large Thinking takes 262K tokens, DeepSeek V4 Pro 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 Pro 0423Ties
Coding06
Intelligence01
Agentic work01
Reasoning03
Math02
Knowledge06
Web design08
General018
All shared boards045
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Trinity Large Thinking and DeepSeek V4 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
LMArena WebDev12381447DeepSeek V4 Pro 0423
AA Coding Index25.859.4DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)Not measured87.5%Only DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)Not measured77.4%Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)Not measured11.1%Only DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)Not measured49.9%Only DeepSeek V4 Pro 0423 measured
Code migration (Vals AI)Not measured26.2%Only DeepSeek V4 Pro 0423 measured
ProgramBench (Vals AI)Not measured0.0%Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)Not measured50.2%Only DeepSeek V4 Pro 0423 measured
SkillsBench (Vals AI)Not measured51.3%Only DeepSeek V4 Pro 0423 measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
FrontierCodeNot measured17.6%Only DeepSeek V4 Pro 0423 measured
WeirdMLNot measured48.9%Only DeepSeek V4 Pro 0423 measured
ALE-BenchNot measured1006.1Only DeepSeek V4 Pro 0423 measured
LMArena Text: coding13571470DeepSeek V4 Pro 0423
LMArena Text: software and IT13621469DeepSeek V4 Pro 0423
LMArena WebDev: React12311441DeepSeek V4 Pro 0423
LMArena WebDev: HTML12401435DeepSeek V4 Pro 0423
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and DeepSeek V4 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
AA Intelligence Index10.830.4DeepSeek V4 Pro 0423
Epoch Capabilities IndexNot measured149.1Only DeepSeek V4 Pro 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 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
AA Agentic Index1.026.3DeepSeek V4 Pro 0423
Design Arena: agents building web appsNot measured1000Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack appsNot measured948Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot gamesNot measured1059Only DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)Not measured44.1%Only DeepSeek V4 Pro 0423 measured
Tax Agent Bench (Vals AI)Not measured25.2%Only DeepSeek V4 Pro 0423 measured
Legal Research Bench (Vals AI)Not measured23.1%Only DeepSeek V4 Pro 0423 measured
Excel Modeling Benchmark (Vals AI)Not measured51.6%Only DeepSeek V4 Pro 0423 measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
Vending-Bench 2Not measured$3,285Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Trinity Large Thinking and DeepSeek V4 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
GPQA DiamondNot measured89.4%Only DeepSeek V4 Pro 0423 measured
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
GPQA Diamond (Epoch AI run)Not measured90.9%Only DeepSeek V4 Pro 0423 measured
Chess puzzlesNot measured19.0%Only DeepSeek V4 Pro 0423 measured
Mystery game puzzlesNot measured17.0%Only DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts13421461DeepSeek V4 Pro 0423
LMArena Text: expert13591463DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English13561466DeepSeek V4 Pro 0423
Kagi LLM BenchmarkNot measured53.5%Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and DeepSeek V4 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
OTIS Mock AIMENot measured96.7%Only DeepSeek V4 Pro 0423 measured
FrontierMath, tiers 1 to 3Not measured45.3%Only DeepSeek V4 Pro 0423 measured
FrontierMath, tier 4Not measured2.4%Only DeepSeek V4 Pro 0423 measured
ProofBenchNot measured16.0%Only DeepSeek V4 Pro 0423 measured
LMArena Text: math13651443DeepSeek V4 Pro 0423
LMArena Text: mathematical work13501455DeepSeek V4 Pro 0423
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Trinity Large Thinking and DeepSeek V4 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
MMLU ProNot measured87.3%Only DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)Not measured80.3%Only DeepSeek V4 Pro 0423 measured
CaseLaw (Vals AI)57.9%59.4%DeepSeek V4 Pro 0423
CorpFin (Vals AI)54.7%61.4%DeepSeek V4 Pro 0423
TaxEval (Vals AI)Not measured72.1%Only DeepSeek V4 Pro 0423 measured
MedCode (Vals AI)Not measured40.5%Only DeepSeek V4 Pro 0423 measured
SimpleQA VerifiedNot measured47.0%Only DeepSeek V4 Pro 0423 measured
LMArena Text: science13551470DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare13491466DeepSeek V4 Pro 0423
LMArena Text: legal and government13451464DeepSeek V4 Pro 0423
LMArena Text: business and finance13291443DeepSeek V4 Pro 0423
Neither model has a result on the other 7 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 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
Design Arena: websites11371234DeepSeek V4 Pro 0423
Design Arena: UI components10451222DeepSeek V4 Pro 0423
Design Arena: game dev10791229DeepSeek V4 Pro 0423
Design Arena: data viz10981203DeepSeek V4 Pro 0423
Design Arena: 3D10821254DeepSeek V4 Pro 0423
Design Arena: all code categories11171240DeepSeek V4 Pro 0423
Design Arena: SVG10171140DeepSeek V4 Pro 0423
Design Arena: ASCII art10411149DeepSeek V4 Pro 0423
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 DeepSeek V4 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 0423Leader
Public Benefits Bench (Vals AI)Not measured62.9%Only DeepSeek V4 Pro 0423 measured
MedScribe (Vals AI)Not measured75.1%Only DeepSeek V4 Pro 0423 measured
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
DTBenchNot measured90.7%Only DeepSeek V4 Pro 0423 measured
LMCANot measured41.2%Only DeepSeek V4 Pro 0423 measured
Surface Evolver Bench15.6%40.0%DeepSeek V4 Pro 0423
CL-bench LifeNot measured13.5%Only DeepSeek V4 Pro 0423 measured
LMArena Text13401451DeepSeek V4 Pro 0423
LMArena Text: instruction following13261445DeepSeek V4 Pro 0423
LMArena Text: creative writing13081446DeepSeek V4 Pro 0423
LMArena Text: English13561459DeepSeek V4 Pro 0423
LMArena Text: non-English13251439DeepSeek V4 Pro 0423
LMArena Text: Chinese13711481DeepSeek V4 Pro 0423
LMArena Text: German13561458DeepSeek V4 Pro 0423
LMArena Text: Japanese13121446DeepSeek V4 Pro 0423
LMArena Text: Korean13061409DeepSeek V4 Pro 0423
LMArena Text: French13661473DeepSeek V4 Pro 0423
LMArena Text: Spanish13271457DeepSeek V4 Pro 0423
LMArena Text: Russian13381453DeepSeek V4 Pro 0423
LMArena Text: Polish13121461DeepSeek V4 Pro 0423
LMArena Text: multi-turn13201468DeepSeek V4 Pro 0423
LMArena Text: longer queries13181458DeepSeek V4 Pro 0423
LMArena Text: writing and language13171447DeepSeek V4 Pro 0423
LMArena Text: entertainment and media12961431DeepSeek V4 Pro 0423
Neither model has a result on the other 21 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 Pro 0423
BenchmarkTrinity Large ThinkingDeepSeek V4 Pro 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 Pro 0423$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
DeepSeek V4 Pro 0423$0.069Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
DeepSeek V4 Pro 0423$0.272Fits 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 DeepSeek V4 Pro 0423
SpecificationArcee AI Trinity Large ThinkingDeepSeek V4 Pro 0423
MakerArcee AIDeepSeek
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026April 24, 2026
Context window262K1.05M
Input $/Mtok$0.25$1.225
Output $/Mtok$0.80$2.716
Coding indexNot benchmarked38.7
Independent measurements behind it15
Cost per solved taskNot computable$0.57
SourceOpenRouter listingOpenRouter listing

Questions

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

Only DeepSeek V4 Pro 0423 has a coding score, 38.7 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 3.4x cheaper ($0.80 vs $2.716 per million).

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

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; DeepSeek V4 Pro 0423 costs $1.225 and $2.716. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

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

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

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

45 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 Pro 0423's on 5. Where only one model has a result, the page says so instead of naming a winner.

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