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GLM 5.3 vs GPT-6 Luna

Updated October 21, 2026. 84 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 5.3Z.ai
Coding
73.1
Overall
44.8
Output $/M
$1.40
63
GPT-6 LunaOpenAI
Coding
71.4
Overall
38.1
Output $/M
$0.50
21
vs boards won of 84 shared

Decision reading

GLM 5.3 and GPT-6 Luna are level for coding, 73.1 against 71.4 on the Vibe Coding Index, so price and context decide.

Pick GPT-6 Luna when output tokens cost 2.8x less, or when the context window is larger, 1.05M against 1.05M tokens. Pick GLM 5.3 when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Shared results
84
GLM 5.3 only
16
GPT-6 Luna only
18
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
GLM 5.3 73.1 from 2 benchmarks, GPT-6 Luna 71.4 from 2 benchmarks.
Widest category
Agentic work, 17.4 points apart on average over 12 shared benchmarks.
Widest single gap
LiveBench browser: GLM 5.3 0.0% against GPT-6 Luna 72.0%, 72.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $1.40 against GPT-6 Luna $0.50 per million output tokens, 2.8x apart.
Context window
GLM 5.3 takes 1.05M tokens, GPT-6 Luna 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
CategoryGLM 5.3BarsGPT-6 LunaTies
Coding97
Intelligence11
Agentic work93
Reasoning90
Math24
Knowledge42
Web design81
General213
All shared boards6321
CodingLike-for-likeFour of these boards feed the Vibe Coding Index97
Coding benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
LiveBench coding82.8%84.5%GPT-6 Luna
LMArena WebDev16211578GLM 5.3
AA Coding Index74.8Not measuredOnly GLM 5.3 measured
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 4 (Vals AI)38.9%13.6%GLM 5.3
Vibe Code Bench (Vals AI)78.1%81.7%GPT-6 Luna
Code migration (Vals AI)44.2%42.5%GLM 5.3
ProgramBench (Vals AI)1.5%0.5%GLM 5.3
IOI (Vals AI)68.4%55.6%GLM 5.3
Terminal-Bench 2.1 (Vals AI)71.5%73.0%GPT-6 Luna
SWE-bench Multimodal (Vals AI)Not measured37.5%Only GPT-6 Luna measured
Vibe Code Bench 1-100 (Vals AI)20.0%Not measuredOnly GLM 5.3 measured
SkillsBench (Vals AI)47.5%Not measuredOnly GLM 5.3 measured
CyberBench (Vals AI)72.1%76.3%GPT-6 Luna
SciCode59.0%54.6%GLM 5.3
FrontierCode40.1%42.4%GPT-6 Luna
FrontierSWE30.2%Not measuredOnly GLM 5.3 measured
WeirdML75.4%Not measuredOnly GLM 5.3 measured
ALE-Bench1317.41576.9GPT-6 Luna
LMArena Text: coding14971437GLM 5.3
LMArena Text: software and IT14931423GLM 5.3
LMArena WebDev: React16411573GLM 5.3
LMArena WebDev: HTML15951595GPT-6 Luna
LMArena WebDev: from an imageNot measured1571Only GPT-6 Luna measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
AA Intelligence Index44.838.1GLM 5.3
Epoch Capabilities Index156.0156.8GPT-6 Luna
Agentic workLike-for-likePublic boards, shown as published, kept out of the index93
Agentic work benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
AA Agentic Index53.1Not measuredOnly GLM 5.3 measured
Design Arena: agents building web appsNot measured1189Only GPT-6 Luna measured
Design Arena: agents building full-stack appsNot measured1158Only GPT-6 Luna measured
Design Arena: agents building mobile apps11941133GLM 5.3
Design Arena: HTML slides1189Not measuredOnly GLM 5.3 measured
Design Arena: PowerPoint slides1255Not measuredOnly GLM 5.3 measured
LiveBench research73.2%43.5%GLM 5.3
LiveBench browser0.0%72.0%GPT-6 Luna
LiveBench long agentic35.9%48.1%GPT-6 Luna
SREBench (Vals AI)9.2%2.7%GLM 5.3
Finance Agent (Vals AI)55.8%49.9%GLM 5.3
Tax Agent Bench (Vals AI)39.7%19.9%GLM 5.3
Legal Research Bench (Vals AI)49.0%30.3%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)14.6%4.2%GLM 5.3
Excel Modeling Benchmark (Vals AI)56.3%68.5%GPT-6 Luna
BioMysteryBench (Vals AI)Not measured61.5%Only GPT-6 Luna measured
Terminal-Bench-Science (Vals AI)5.7%4.3%GLM 5.3
Vals Science IndexNot measured28.4%Only GPT-6 Luna measured
APEX-Agents56.6%44.3%GLM 5.3
SpireClimbNot measured0.0%Only GPT-6 Luna measured
Vending-Bench 2$8,164Not measuredOnly GLM 5.3 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
GPQA Diamond88.1%Not measuredOnly GLM 5.3 measured
LiveBench reasoning85.8%81.8%GLM 5.3
MysteryMechanism (Vals AI)23.0%19.4%GLM 5.3
GPQA Diamond (Artificial Analysis run)91.7%Not measuredOnly GLM 5.3 measured
Humanity's Last Exam (Artificial Analysis run)42.3%38.5%GLM 5.3
GPQA Diamond (Epoch AI run)90.9%90.5%GLM 5.3
ARC-AGINot measured86.7%Only GPT-6 Luna measured
ARC-AGI-2Not measured59.3%Only GPT-6 Luna measured
Chess puzzles37.0%36.0%GLM 5.3
Mystery game puzzles33.0%7.0%GLM 5.3
LMArena Text: hard prompts14901410GLM 5.3
LMArena Text: expert15141442GLM 5.3
LMArena Text: hard prompts in English14961410GLM 5.3
LMArena Vision: diagramsNot measured1245Only GPT-6 Luna measured
LMArena Vision: homeworkNot measured1261Only GPT-6 Luna measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
OTIS Mock AIME91.1%98.9%GPT-6 Luna
FrontierMath, tiers 1 to 368.8%78.9%GPT-6 Luna
FrontierMath, tier 429.3%56.1%GPT-6 Luna
ProofBench49.0%64.0%GPT-6 Luna
LMArena Text: math14951409GLM 5.3
LMArena Text: mathematical work14971427GLM 5.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
Knowledge benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
MMLU Pro86.8%Not measuredOnly GLM 5.3 measured
LegalBench (Vals AI)84.8%Not measuredOnly GLM 5.3 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 5.3 measured
MedCode (Vals AI)42.9%44.7%GPT-6 Luna
SimpleQA Verified41.0%41.4%GPT-6 Luna
LMArena Text: science14981386GLM 5.3
LMArena Text: medicine and healthcare14811352GLM 5.3
LMArena Text: legal and government14731400GLM 5.3
LMArena Text: business and finance14591388GLM 5.3
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index81
Web design benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
Design Arena: websites12951272GLM 5.3
Design Arena: UI components13141297GLM 5.3
Design Arena: game dev13111259GLM 5.3
Design Arena: data viz12601215GLM 5.3
Design Arena: 3D13321217GLM 5.3
Design Arena: all code categories13041271GLM 5.3
Design Arena: SVG12921253GLM 5.3
Design Arena: ASCII art12131156GLM 5.3
LiveBench design77.3%82.5%GPT-6 Luna
GeneralLike-for-likePublic boards, shown as published, kept out of the index213
General benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
Vals Index59.7%52.3%GLM 5.3
LiveBench data analysis70.2%73.4%GPT-6 Luna
Public Benefits Bench (Vals AI)68.5%57.6%GLM 5.3
SAGE (Vals AI)Not measured48.1%Only GPT-6 Luna measured
MedScribe (Vals AI)88.8%83.7%GLM 5.3
Long context reasoning (AA-LCR)79.7%83.3%GPT-6 Luna
DTBench87.7%90.1%GPT-6 Luna
LMCA55.5%44.5%GLM 5.3
Furniture assemblyNot measured44.2%Only GPT-6 Luna measured
LMArena Text14741389GLM 5.3
LMArena Text: instruction following14791408GLM 5.3
LMArena Text: creative writing14581363GLM 5.3
LMArena VisionNot measured1216Only GPT-6 Luna measured
LMArena Text: English14821393GLM 5.3
LMArena Text: non-English14591381GLM 5.3
LMArena Text: Chinese15321427GLM 5.3
LMArena Text: German14881376GLM 5.3
LMArena Text: Japanese14601369GLM 5.3
LMArena Text: Korean14601359GLM 5.3
LMArena Text: French15031408GLM 5.3
LMArena Text: Spanish14621391GLM 5.3
LMArena Text: Russian14691392GLM 5.3
LMArena Text: Polish14661383GLM 5.3
LMArena Text: multi-turn14721392GLM 5.3
LMArena Text: longer queries14831408GLM 5.3
LMArena Text: writing and language14691384GLM 5.3
LMArena Text: entertainment and media14471364GLM 5.3
LMArena Vision: EnglishNot measured1204Only GPT-6 Luna measured
LMArena Vision: ChineseNot measured1266Only GPT-6 Luna measured
LMArena Vision: reading textNot measured1225Only GPT-6 Luna measured
LMArena Vision: creative writingNot measured1205Only GPT-6 Luna measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 and GPT-6 Luna
BenchmarkGLM 5.3GPT-6 LunaLeader
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

GLM 5.3$0.0008Fits in one request
GPT-6 Luna$0.0003Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.0081Fits in one request
GPT-6 Luna$0.0065Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.030Fits in one request
GPT-6 Luna$0.025Fits in one request

GPT-6 Luna 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 GLM 5.3 and GPT-6 Luna
SpecificationZ.ai GLM 5.3OpenAI GPT-6 Luna
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 18, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.079$0.10
Output $/Mtok$1.40$0.50
Coding index73.171.4
Independent measurements behind it22
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than GPT-6 Luna for coding?

GLM 5.3 and GPT-6 Luna are level for coding, 73.1 against 71.4 on the Vibe Coding Index, so price and context decide. Pick GPT-6 Luna when output tokens cost 2.8x less, or when the context window is larger, 1.05M against 1.05M tokens. Pick GLM 5.3 when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Which is cheaper, GLM 5.3 or GPT-6 Luna?

GLM 5.3 costs $0.079 per million input tokens and $1.40 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, GLM 5.3 or GPT-6 Luna?

GPT-6 Luna, with 1.05M tokens against 1.05M.

How many benchmarks is the GLM 5.3 vs GPT-6 Luna comparison based on?

84 benchmarks have a result for both models as of October 21, 2026. GLM 5.3's coding index rests on 2 independent benchmarks and GPT-6 Luna's on 2. Where only one model has a result, the page says so instead of naming a winner.

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