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Trinity Large Thinking vs GLM 5.3 Flash

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Trinity Large ThinkingArcee AI
Coding
5.4
Overall
10.8
Output $/M
$0.80
0
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
47
vs boards won of 47 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 5.4 for Trinity Large Thinking.

Trinity Large Thinking is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
47
Trinity Large Thinking only
5
GLM 5.3 Flash only
55
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, GLM 5.3 Flash 71.0 from 2 benchmarks.
Widest category
Agentic work, 49.9 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: React: Trinity Large Thinking 1231 against GLM 5.3 Flash 1624, 61.6 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against GLM 5.3 Flash $0.50 per million output tokens, 1.6x apart.
Context window
Trinity Large Thinking takes 262K tokens, GLM 5.3 Flash 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 ThinkingBarsGLM 5.3 FlashTies
Coding07
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
Web design08
General019
All shared boards047
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
LiveBench codingNot measured80.6%Only GLM 5.3 Flash measured
LMArena WebDev12381607GLM 5.3 Flash
AA Coding Index25.871.5GLM 5.3 Flash
LiveCodeBench (Vals AI)Not measured80.5%Only GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)Not measured92.0%Only GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)Not measured37.4%Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)Not measured30.8%Only GLM 5.3 Flash measured
Code migration (Vals AI)Not measured20.5%Only GLM 5.3 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only GLM 5.3 Flash measured
IOI (Vals AI)Not measured52.5%Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured62.9%Only GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)Not measured16.0%Only GLM 5.3 Flash measured
SkillsBench (Vals AI)Not measured40.2%Only GLM 5.3 Flash measured
CyberBench (Vals AI)Not measured67.9%Only GLM 5.3 Flash measured
SciCode40.6%51.6%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
FrontierCodeNot measured31.8%Only GLM 5.3 Flash measured
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
ALE-BenchNot measured303.6Only GLM 5.3 Flash measured
LMArena Text: coding13571507GLM 5.3 Flash
LMArena Text: software and IT13621500GLM 5.3 Flash
LMArena WebDev: React12311624GLM 5.3 Flash
LMArena WebDev: HTML12401577GLM 5.3 Flash
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
AA Intelligence Index10.841.8GLM 5.3 Flash
Epoch Capabilities IndexNot measured153.1Only GLM 5.3 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
AA Agentic Index1.050.9GLM 5.3 Flash
LiveBench researchNot measured70.1%Only GLM 5.3 Flash measured
LiveBench browserNot measured84.0%Only GLM 5.3 Flash measured
LiveBench long agenticNot measured28.4%Only GLM 5.3 Flash measured
SREBench (Vals AI)Not measured0.8%Only GLM 5.3 Flash measured
Finance Agent (Vals AI)Not measured57.9%Only GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)Not measured31.6%Only GLM 5.3 Flash measured
Legal Research Bench (Vals AI)Not measured45.2%Only GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured55.9%Only GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only GLM 5.3 Flash measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
APEX-AgentsNot measured52.8%Only GLM 5.3 Flash measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
GPQA DiamondNot measured86.4%Only GLM 5.3 Flash measured
LiveBench reasoningNot measured77.6%Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)Not measured86.0%Only GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)75.2%91.2%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)15.8%39.9%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)Not measured90.2%Only GLM 5.3 Flash measured
ARC-AGINot measured91.0%Only GLM 5.3 Flash measured
ARC-AGI-2Not measured65.8%Only GLM 5.3 Flash measured
Chess puzzlesNot measured21.0%Only GLM 5.3 Flash measured
Mystery game puzzlesNot measured8.0%Only GLM 5.3 Flash measured
LMArena Text: hard prompts13421490GLM 5.3 Flash
LMArena Text: expert13591511GLM 5.3 Flash
LMArena Text: hard prompts in English13561488GLM 5.3 Flash
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
OTIS Mock AIMENot measured93.9%Only GLM 5.3 Flash measured
FrontierMath, tiers 1 to 3Not measured55.8%Only GLM 5.3 Flash measured
FrontierMath, tier 4Not measured17.1%Only GLM 5.3 Flash measured
ProofBenchNot measured21.0%Only GLM 5.3 Flash measured
LMArena Text: math13651503GLM 5.3 Flash
LMArena Text: mathematical work13501497GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
MMLU ProNot measured86.1%Only GLM 5.3 Flash measured
LegalBench (Vals AI)Not measured83.9%Only GLM 5.3 Flash measured
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
TaxEval (Vals AI)Not measured75.6%Only GLM 5.3 Flash measured
LMArena Text: science13551484GLM 5.3 Flash
LMArena Text: medicine and healthcare13491475GLM 5.3 Flash
LMArena Text: legal and government13451473GLM 5.3 Flash
LMArena Text: business and finance13291460GLM 5.3 Flash
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
Design Arena: websites11371272GLM 5.3 Flash
Design Arena: UI components10451316GLM 5.3 Flash
Design Arena: game dev10791279GLM 5.3 Flash
Design Arena: data viz10981262GLM 5.3 Flash
Design Arena: 3D10821316GLM 5.3 Flash
Design Arena: all code categories11171282GLM 5.3 Flash
Design Arena: SVG10161284GLM 5.3 Flash
Design Arena: ASCII art10411269GLM 5.3 Flash
LiveBench designNot measured77.2%Only GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Trinity Large Thinking and GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysisNot measured76.4%Only GLM 5.3 Flash measured
MedScribe (Vals AI)Not measured88.9%Only GLM 5.3 Flash measured
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%80.0%GLM 5.3 Flash
Surface Evolver Bench15.6%52.5%GLM 5.3 Flash
LMArena Text13401471GLM 5.3 Flash
LMArena Text: instruction following13261478GLM 5.3 Flash
LMArena Text: creative writing13081441GLM 5.3 Flash
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English13561474GLM 5.3 Flash
LMArena Text: non-English13251462GLM 5.3 Flash
LMArena Text: Chinese13711531GLM 5.3 Flash
LMArena Text: German13561462GLM 5.3 Flash
LMArena Text: Japanese13121444GLM 5.3 Flash
LMArena Text: Korean13061436GLM 5.3 Flash
LMArena Text: French13661491GLM 5.3 Flash
LMArena Text: Spanish13271475GLM 5.3 Flash
LMArena Text: Russian13381465GLM 5.3 Flash
LMArena Text: Polish13121450GLM 5.3 Flash
LMArena Text: multi-turn13201469GLM 5.3 Flash
LMArena Text: longer queries13181481GLM 5.3 Flash
LMArena Text: writing and language13171455GLM 5.3 Flash
LMArena Text: entertainment and media12961440GLM 5.3 Flash
LMArena Vision: EnglishNot measured1295Only GLM 5.3 Flash measured
LMArena Vision: ChineseNot measured1363Only GLM 5.3 Flash measured
LMArena Vision: reading textNot measured1299Only GLM 5.3 Flash measured
LMArena Vision: humorNot measured1279Only GLM 5.3 Flash measured
LMArena Vision: creative writingNot measured1270Only GLM 5.3 Flash measured
Neither model has a result on the other 17 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 GLM 5.3 Flash
BenchmarkTrinity Large ThinkingGLM 5.3 FlashLeader
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
GLM 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
GLM 5.3 Flash$0.035Fits in one request

GLM 5.3 Flash 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 GLM 5.3 Flash
SpecificationArcee AI Trinity Large ThinkingZ.ai GLM 5.3 Flash
MakerArcee AIZ.ai
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026August 26, 2026
Context window262K1.05M
Input $/Mtok$0.25$0.15
Output $/Mtok$0.80$0.50
Coding index5.471.0
Independent measurements behind it12
Cost per solved taskNot computable$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than GLM 5.3 Flash for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 5.4 for Trinity Large Thinking. Trinity Large Thinking is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Trinity Large Thinking or GLM 5.3 Flash?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, Trinity Large Thinking or GLM 5.3 Flash?

GLM 5.3 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Trinity Large Thinking vs GLM 5.3 Flash comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and GLM 5.3 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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