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Trinity Large Thinking vs Qwen3.5-122B-A10B

Updated October 21, 2026. 40 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 Qwen3.5-122B-A10B
Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
1
Qwen3.5-122B-A10BQwen
Coding
22.9
Overall
17.7
Output $/M
$2.08
39
vs boards won of 40 shared

Decision reading

Pick Qwen3.5-122B-A10B for coding: it scores 22.9 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Pick Trinity Large Thinking when output tokens cost 2.6x less, or when the benchmark that matters is SciCode, where it leads.

Model ATrinity Large ThinkingArcee AI5.4/1001 independent benchmarkNo cost per solved taskModel BQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved task
Shared results
40
Trinity Large Thinking only
12
Qwen3.5-122B-A10B only
11
Like-for-like categories
7 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, Qwen3.5-122B-A10B 22.9 from 1 benchmark.
Widest category
General, 14.2 points apart on average over 19 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Trinity Large Thinking 38.0% against Qwen3.5-122B-A10B 76.3%, 38.3 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Qwen3.5-122B-A10B $2.08 per million output tokens, 2.6x apart.
Context window
Both take 262K tokens.

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 ThinkingBarsQwen3.5-122B-A10BTies
Coding17
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General019
All shared boards139
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
Coding benchmarks for Trinity Large Thinking and Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
LMArena WebDev12381361Qwen3.5-122B-A10B
AA Coding Index25.843.3Qwen3.5-122B-A10B
SciCode40.6%39.7%Trinity Large Thinking
Terminal-Bench Hard (Artificial Analysis run)22.7%31.1%Qwen3.5-122B-A10B
LMArena Text: coding13571436Qwen3.5-122B-A10B
LMArena Text: software and IT13621436Qwen3.5-122B-A10B
LMArena WebDev: React12311353Qwen3.5-122B-A10B
LMArena WebDev: HTML12401351Qwen3.5-122B-A10B
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
AA Intelligence Index10.817.7Qwen3.5-122B-A10B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Trinity Large Thinking and Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%93.6%Qwen3.5-122B-A10B
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)75.2%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)15.8%25.2%Qwen3.5-122B-A10B
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts13421421Qwen3.5-122B-A10B
LMArena Text: expert13591431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English13561431Qwen3.5-122B-A10B
LMArena Vision: diagramsNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: homeworkNot measured1261Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
LMArena Text: math13651431Qwen3.5-122B-A10B
LMArena Text: mathematical work13501431Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: science13551432Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare13491423Qwen3.5-122B-A10B
LMArena Text: legal and government13451422Qwen3.5-122B-A10B
LMArena Text: business and finance13291414Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
Design Arena: websites1137Not measuredOnly Trinity Large Thinking measured
Design Arena: UI components1045Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1079Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098Not measuredOnly Trinity Large Thinking measured
Design Arena: 3D1082Not 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 index019
General benchmarks for Trinity Large Thinking and Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
IFBench56.3%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)38.0%76.3%Qwen3.5-122B-A10B
DTBenchNot measured84.3%Only Qwen3.5-122B-A10B measured
LMCANot measured32.2%Only Qwen3.5-122B-A10B measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401417Qwen3.5-122B-A10B
LMArena Text: instruction following13261399Qwen3.5-122B-A10B
LMArena Text: creative writing13081368Qwen3.5-122B-A10B
LMArena VisionNot measured1244Only Qwen3.5-122B-A10B measured
LMArena Text: English13561428Qwen3.5-122B-A10B
LMArena Text: non-English13251401Qwen3.5-122B-A10B
LMArena Text: Chinese13711463Qwen3.5-122B-A10B
LMArena Text: German13561425Qwen3.5-122B-A10B
LMArena Text: Japanese13121367Qwen3.5-122B-A10B
LMArena Text: Korean13061353Qwen3.5-122B-A10B
LMArena Text: French13661443Qwen3.5-122B-A10B
LMArena Text: Spanish13271425Qwen3.5-122B-A10B
LMArena Text: Russian13381400Qwen3.5-122B-A10B
LMArena Text: Polish13121398Qwen3.5-122B-A10B
LMArena Text: multi-turn13201416Qwen3.5-122B-A10B
LMArena Text: longer queries13181410Qwen3.5-122B-A10B
LMArena Text: writing and language13171387Qwen3.5-122B-A10B
LMArena Text: entertainment and media12961366Qwen3.5-122B-A10B
LMArena Vision: EnglishNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: ChineseNot measured1301Only Qwen3.5-122B-A10B measured
LMArena Vision: reading textNot measured1251Only Qwen3.5-122B-A10B measured
LMArena Vision: humorNot measured1243Only Qwen3.5-122B-A10B measured
LMArena Vision: creative writingNot measured1220Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 18 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 Qwen3.5-122B-A10B
BenchmarkTrinity Large ThinkingQwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$0.0013Fits in one request

Trinity Large Thinking costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Qwen3.5-122B-A10B$0.073Fits 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 Qwen3.5-122B-A10B
SpecificationArcee AI Trinity Large ThinkingQwen3.5-122B-A10B
MakerArcee AIQwen
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026February 25, 2026
Context window262K262K
Input $/Mtok$0.25$0.26
Output $/Mtok$0.80$2.08
Coding index5.422.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Qwen3.5-122B-A10B for coding?

Pick Qwen3.5-122B-A10B for coding: it scores 22.9 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Pick Trinity Large Thinking when output tokens cost 2.6x less, or when the benchmark that matters is SciCode, where it leads.

Which is cheaper, Trinity Large Thinking or Qwen3.5-122B-A10B?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or Qwen3.5-122B-A10B?

Neither: both take 262K tokens.

How many benchmarks is the Trinity Large Thinking vs Qwen3.5-122B-A10B comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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