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Trinity Large Thinking vs DeepSeek V3.2 Exp

Updated October 21, 2026. 44 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 DeepSeek V3.2 Exp
Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
3
DeepSeek V3.2 ExpDeepSeek
Coding
55.0
Overall
16.6
Output $/M
$0.41
41
vs boards won of 44 shared

Decision reading

Pick DeepSeek V3.2 Exp for coding: it scores 55.0 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Pick Trinity Large Thinking when the context window is larger, 262K against 164K tokens, or when what matters is τ²-Bench Telecom or Humanity's Last Exam (Artificial Analysis run), where it leads.

Model ATrinity Large ThinkingArcee AI5.4/1001 independent benchmarkNo cost per solved taskModel BDeepSeek V3.2 ExpDeepSeek55.0/1002 independent benchmarksNo cost per solved task
Shared results
44
Trinity Large Thinking only
8
DeepSeek V3.2 Exp only
13
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, DeepSeek V3.2 Exp 55.0 from 2 benchmarks.
Widest category
Agentic work, 56.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Trinity Large Thinking 90.1% against DeepSeek V3.2 Exp 33.9%, 56.1 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against DeepSeek V3.2 Exp $0.41 per million output tokens, 2.0x apart.
Context window
Trinity Large Thinking takes 262K tokens, DeepSeek V3.2 Exp 164K.

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 V3.2 ExpTies
Coding05
Intelligence01
Agentic work10
Reasoning14
Math02
Knowledge04
Web design07
General118
All shared boards341
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
Aider polyglotNot measured74.2%Only DeepSeek V3.2 Exp measured
LMArena WebDev12381272DeepSeek V3.2 Exp
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Artificial Analysis run)Not measured78.9%Only DeepSeek V3.2 Exp measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%31.1%DeepSeek V3.2 Exp
WeirdMLNot measured39.5%Only DeepSeek V3.2 Exp measured
LMArena Text: coding13571438DeepSeek V3.2 Exp
LMArena Text: software and IT13621438DeepSeek V3.2 Exp
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML12401281DeepSeek V3.2 Exp
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
AA Intelligence Index10.816.6DeepSeek V3.2 Exp
Epoch Capabilities IndexNot measured144.9Only DeepSeek V3.2 Exp measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%33.9%Trinity Large Thinking
TheAgentCompanyNot measured42.9%Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
GPQA Diamond (Artificial Analysis run)75.2%79.7%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)15.8%14.9%Trinity Large Thinking
LMArena Text: hard prompts13421429DeepSeek V3.2 Exp
LMArena Text: expert13591422DeepSeek V3.2 Exp
LMArena Text: hard prompts in English13561444DeepSeek V3.2 Exp
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
AA Math IndexNot measured87.7Only DeepSeek V3.2 Exp measured
AIME 2025 (Artificial Analysis run)Not measured87.7%Only DeepSeek V3.2 Exp measured
LMArena Text: math13651422DeepSeek V3.2 Exp
LMArena Text: mathematical work13501433DeepSeek V3.2 Exp
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
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 measured85.0%Only DeepSeek V3.2 Exp measured
LMArena Text: science13551443DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare13491468DeepSeek V3.2 Exp
LMArena Text: legal and government13451419DeepSeek V3.2 Exp
LMArena Text: business and finance13291412DeepSeek V3.2 Exp
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
Design Arena: websites11371179DeepSeek V3.2 Exp
Design Arena: UI components10451166DeepSeek V3.2 Exp
Design Arena: game dev10791145DeepSeek V3.2 Exp
Design Arena: data viz10981152DeepSeek V3.2 Exp
Design Arena: 3D10821148DeepSeek V3.2 Exp
Design Arena: all code categories11171171DeepSeek V3.2 Exp
Design Arena: SVG10161031DeepSeek V3.2 Exp
Design Arena: ASCII art1041Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for Trinity Large Thinking and DeepSeek V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
IFBench56.3%54.1%Trinity Large Thinking
Long context reasoning (AA-LCR)38.0%72.3%DeepSeek V3.2 Exp
DTBenchNot measured87.7%Only DeepSeek V3.2 Exp measured
LMCANot measured29.1%Only DeepSeek V3.2 Exp measured
Fiction.LiveBenchNot measured83.3%Only DeepSeek V3.2 Exp measured
CL-benchNot measured13.2%Only DeepSeek V3.2 Exp measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
CL-bench LifeNot measured9.5%Only DeepSeek V3.2 Exp measured
LMArena Text13401425DeepSeek V3.2 Exp
LMArena Text: instruction following13261401DeepSeek V3.2 Exp
LMArena Text: creative writing13081404DeepSeek V3.2 Exp
LMArena Text: English13561441DeepSeek V3.2 Exp
LMArena Text: non-English13251404DeepSeek V3.2 Exp
LMArena Text: Chinese13711461DeepSeek V3.2 Exp
LMArena Text: German13561440DeepSeek V3.2 Exp
LMArena Text: Japanese13121331DeepSeek V3.2 Exp
LMArena Text: Korean13061372DeepSeek V3.2 Exp
LMArena Text: French13661434DeepSeek V3.2 Exp
LMArena Text: Spanish13271441DeepSeek V3.2 Exp
LMArena Text: Russian13381412DeepSeek V3.2 Exp
LMArena Text: Polish13121435DeepSeek V3.2 Exp
LMArena Text: multi-turn13201422DeepSeek V3.2 Exp
LMArena Text: longer queries13181418DeepSeek V3.2 Exp
LMArena Text: writing and language13171407DeepSeek V3.2 Exp
LMArena Text: entertainment and media12961407DeepSeek V3.2 Exp
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 V3.2 Exp
BenchmarkTrinity Large ThinkingDeepSeek V3.2 ExpLeader
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 V3.2 Exp$0.0005Fits in one request

DeepSeek V3.2 Exp costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
DeepSeek V3.2 Exp$0.015Fits in one request

DeepSeek V3.2 Exp costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
DeepSeek V3.2 Exp$0.058Exceeds the context window

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 V3.2 Exp
SpecificationArcee AI Trinity Large ThinkingDeepSeek V3.2 Exp
MakerArcee AIDeepSeek
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026September 29, 2025
Context window262K164K
Input $/Mtok$0.25$0.27
Output $/Mtok$0.80$0.41
Coding index5.455.0
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than DeepSeek V3.2 Exp for coding?

Pick DeepSeek V3.2 Exp for coding: it scores 55.0 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when the context window is larger, 262K against 164K tokens, or when what matters is τ²-Bench Telecom or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Trinity Large Thinking or DeepSeek V3.2 Exp?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; DeepSeek V3.2 Exp costs $0.27 and $0.41. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or DeepSeek V3.2 Exp?

Trinity Large Thinking, with 262K tokens against 164K.

How many benchmarks is the Trinity Large Thinking vs DeepSeek V3.2 Exp comparison based on?

44 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 V3.2 Exp's on 2. Where only one model has a result, the page says so instead of naming a winner.

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