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Trinity Large Thinking vs Qwen2.5 Coder 32B Instruct

Trinity Large Thinking leads Qwen2.5 Coder 32B Instruct on the Artificial Analysis Intelligence Index, 10.8 to 6.7, and Trinity Large Thinking costs 1.3x less per output token ($0.80 vs $1.00 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Replace Trinity Large Thinking Replace Qwen2.5 Coder 32B Instruct
Trinity Large ThinkingArcee AI
Coding
No data
Overall
No data
Output $/M
$0.80
25
Qwen2.5 Coder 32B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
0
vs boards won of 25 shared

Trinity Large Thinking or Qwen2.5 Coder 32B Instruct: 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 1.3x cheaper ($0.80 vs $1.00 per million) and a larger context window (262K against 33K tokens).

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen2.5 Coder 32B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
25
Trinity Large Thinking only
27
Qwen2.5 Coder 32B Instruct only
10
Like-for-like categories
6 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, Qwen2.5 Coder 32B Instruct not benchmarked.
Widest category
Knowledge, 20.4 points apart on average over 4 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Trinity Large Thinking 75.2% against Qwen2.5 Coder 32B Instruct 41.7%, 33.5 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Qwen2.5 Coder 32B Instruct $1.00 per million output tokens, 1.3x apart.
Context window
Trinity Large Thinking takes 262K tokens, Qwen2.5 Coder 32B Instruct 33K.

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 ThinkingBarsQwen2.5 Coder 32B InstructTies
Coding20
Intelligence10
Reasoning50
Math20
Knowledge40
General110
All shared boards250
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
Aider polyglotNot measured16.4%Only Qwen2.5 Coder 32B Instruct measured
SWE-bench VerifiedNot measured47.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
LiveCodeBench (Artificial Analysis run)Not measured29.5%Only Qwen2.5 Coder 32B Instruct measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: coding13571276Trinity Large Thinking
LMArena Text: software and IT13621261Trinity Large Thinking
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
AA Intelligence Index10.86.7Trinity Large Thinking
Epoch Capabilities IndexNot measured119.5Only Qwen2.5 Coder 32B Instruct measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
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 index50
Reasoning benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
GPQA Diamond (Artificial Analysis run)75.2%41.7%Trinity Large Thinking
Humanity's Last Exam (Artificial Analysis run)15.8%3.5%Trinity Large Thinking
LMArena Text: hard prompts13421251Trinity Large Thinking
LMArena Text: expert13591221Trinity Large Thinking
LMArena Text: hard prompts in English13561269Trinity Large Thinking
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
GSM8KNot measured93.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: math13651251Trinity Large Thinking
LMArena Text: mathematical work13501243Trinity Large Thinking
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
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 measured63.5%Only Qwen2.5 Coder 32B Instruct measured
MMLUNot measured79.1%Only Qwen2.5 Coder 32B Instruct measured
AI2 Reasoning ChallengeNot measured70.5%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: science13551221Trinity Large Thinking
LMArena Text: medicine and healthcare13491187Trinity Large Thinking
LMArena Text: legal and government13451257Trinity Large Thinking
LMArena Text: business and finance13291224Trinity Large Thinking
Neither model has a result on the other 9 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 Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
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
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for Trinity Large Thinking and Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
HellaSwagNot measured83.0%Only Qwen2.5 Coder 32B Instruct measured
WinoGrandeNot measured80.8%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text13401230Trinity Large Thinking
LMArena Text: instruction following13261223Trinity Large Thinking
LMArena Text: creative writing13081174Trinity Large Thinking
LMArena Text: English13561248Trinity Large Thinking
LMArena Text: non-English13251205Trinity Large Thinking
LMArena Text: Chinese13711222Trinity Large Thinking
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: Russian13381228Trinity Large Thinking
LMArena Text: Polish1312Not measuredOnly Trinity Large Thinking measured
LMArena Text: multi-turn13201222Trinity Large Thinking
LMArena Text: longer queries13181251Trinity Large Thinking
LMArena Text: writing and language13171191Trinity Large Thinking
LMArena Text: entertainment and media12961150Trinity Large Thinking
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 Qwen2.5 Coder 32B Instruct
BenchmarkTrinity Large ThinkingQwen2.5 Coder 32B InstructLeader
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
Qwen2.5 Coder 32B Instruct$0.0012Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Qwen2.5 Coder 32B Instruct$0.036Exceeds the context window

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Qwen2.5 Coder 32B Instruct$0.142Exceeds 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 Qwen2.5 Coder 32B Instruct
SpecificationArcee AI Trinity Large ThinkingQwen2.5 Coder 32B Instruct
MakerArcee AIQwen
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026November 11, 2024
Context window262K33K
Input $/Mtok$0.25$0.66
Output $/Mtok$0.80$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Qwen2.5 Coder 32B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for output tokens 1.3x cheaper ($0.80 vs $1.00 per million) and a larger context window (262K against 33K tokens).

Which is cheaper, Trinity Large Thinking or Qwen2.5 Coder 32B Instruct?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Qwen2.5 Coder 32B Instruct costs $0.66 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or Qwen2.5 Coder 32B Instruct?

Trinity Large Thinking, with 262K tokens against 33K.

How many benchmarks is the Trinity Large Thinking vs Qwen2.5 Coder 32B Instruct comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Qwen2.5 Coder 32B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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