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GLM 5.3 vs GPT-6 Astra

GPT-6 Astra leads GLM 5.3 on coding, 85.1 to 70.6 on the Vibe Coding Index, and GLM 5.3 costs 11.4x less per output token ($4.40 vs $50.00 per million). Updated October 22, 2026; 91 benchmarks have a result for both.

Replace GLM 5.3 Replace GPT-6 Astra
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
37
GPT-6 AstraOpenAI
Coding
85.1
Overall
83.0
Output $/M
$50.00
54
vs boards won of 91 shared

GLM 5.3 or GPT-6 Astra: which to pick

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 70.6 for GLM 5.3, though on 5 benchmarks against 6.

Pick GLM 5.3 for output tokens 11.4x cheaper ($4.40 vs $50.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Model AGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved taskModel BGPT-6 AstraOpenAI85.1/1005 independent benchmarksNo cost per solved task
Shared results
91
GLM 5.3 only
9
GPT-6 Astra only
30
Like-for-like categories
8 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
GLM 5.3 70.6 from 6 benchmarks, GPT-6 Astra 85.1 from 5 benchmarks.
Widest category
Math, 26.5 points apart on average over 6 shared benchmarks.
Widest single gap
LiveBench browser: GLM 5.3 0.0% against GPT-6 Astra 84.0%, 84.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $4.40 against GPT-6 Astra $50.00 per million output tokens, 11.4x apart.
Context window
GLM 5.3 takes 1.05M tokens, GPT-6 Astra 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 AstraTies
Coding416
Intelligence02
Agentic work69
Reasoning37
Math24
Knowledge42
Web design09
General185
All shared boards3754
CodingLike-for-likeSix of these boards feed the Vibe Coding Index416
Coding benchmarks for GLM 5.3 and GPT-6 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
LiveBench coding82.8%93.7%GPT-6 Astra
LMArena WebDev16211774GPT-6 Astra
AA Coding Index74.876.9GPT-6 Astra
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%59.6%GPT-6 Astra
Vibe Code Bench (Vals AI)78.1%89.6%GPT-6 Astra
Code migration (Vals AI)44.2%67.7%GPT-6 Astra
ProgramBench (Vals AI)1.5%5.5%GPT-6 Astra
IOI (Vals AI)68.4%100.0%GPT-6 Astra
Terminal-Bench 2.1 (Vals AI)71.5%87.3%GPT-6 Astra
SWE-bench Multimodal (Vals AI)Not measured43.3%Only GPT-6 Astra measured
Vibe Code Bench 1-100 (Vals AI)20.0%27.6%GPT-6 Astra
SkillsBench (Vals AI)47.5%Not measuredOnly GLM 5.3 measured
CyberBench (Vals AI)72.1%41.1%GLM 5.3
SciCode59.0%56.5%GLM 5.3
FrontierCode40.1%53.3%GPT-6 Astra
FrontierSWE30.2%65.5%GPT-6 Astra
GSO-BenchNot measured79.4%Only GPT-6 Astra measured
WeirdML75.4%93.3%GPT-6 Astra
MirrorCodeNot measured46.7%Only GPT-6 Astra measured
ALE-Bench1317.42951.3GPT-6 Astra
LMArena Text: coding14971489GLM 5.3
LMArena Text: software and IT14931474GLM 5.3
LMArena WebDev: React16411798GPT-6 Astra
LMArena WebDev: HTML15951775GPT-6 Astra
LMArena WebDev: from an imageNot measured1726Only GPT-6 Astra measured
SciCodeNot measured12.3%Only GPT-6 Astra measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.3 and GPT-6 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
AA Intelligence Index44.852.7GPT-6 Astra
Epoch Capabilities Index156.0168.8GPT-6 Astra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index69
Agentic work benchmarks for GLM 5.3 and GPT-6 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
AA Agentic Index53.151.0GLM 5.3
Design Arena: agents building web appsNot measured1373Only GPT-6 Astra measured
Design Arena: agents building full-stack appsNot measured1357Only GPT-6 Astra measured
Design Arena: agents building mobile apps11941312GPT-6 Astra
Design Arena: agents building Godot gamesNot measured1348Only GPT-6 Astra measured
Design Arena: HTML slides1189Not measuredOnly GLM 5.3 measured
Design Arena: PowerPoint slides12301219GLM 5.3
Design Arena: spreadsheetsNot measured1365Only GPT-6 Astra measured
LiveBench research73.2%85.2%GPT-6 Astra
LiveBench browser0.0%84.0%GPT-6 Astra
LiveBench long agentic35.9%82.4%GPT-6 Astra
SREBench (Vals AI)9.2%56.9%GPT-6 Astra
Finance Agent (Vals AI)55.8%53.5%GLM 5.3
Tax Agent Bench (Vals AI)39.7%20.7%GLM 5.3
Legal Research Bench (Vals AI)49.0%39.4%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)14.6%7.1%GLM 5.3
Excel Modeling Benchmark (Vals AI)56.3%71.7%GPT-6 Astra
BioMysteryBench (Vals AI)Not measured79.3%Only GPT-6 Astra measured
Terminal-Bench-Science (Vals AI)5.7%62.9%GPT-6 Astra
Vals Science IndexNot measured65.1%Only GPT-6 Astra measured
Time Horizon Index (Vals AI)Not measured90.5%Only GPT-6 Astra measured
CUA-bench (Vals AI)Not measured19.2%Only GPT-6 Astra measured
Robo-bench (Vals AI)Not measured23.3%Only GPT-6 Astra measured
APEX-Agents56.6%64.7%GPT-6 Astra
Remote Labor IndexNot measured20.8%Only GPT-6 Astra measured
BALROGNot measured68.3%Only GPT-6 Astra measured
SpireClimbNot measured25.7%Only GPT-6 Astra measured
Vending-Bench 2$8,164$15,515GPT-6 Astra
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index37
Reasoning benchmarks for GLM 5.3 and GPT-6 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
GPQA Diamond88.1%Not measuredOnly GLM 5.3 measured
LiveBench reasoning85.8%92.7%GPT-6 Astra
MysteryMechanism (Vals AI)23.0%53.1%GPT-6 Astra
GPQA Diamond (Artificial Analysis run)91.7%96.3%GPT-6 Astra
Humanity's Last Exam (Artificial Analysis run)42.3%54.7%GPT-6 Astra
GPQA Diamond (Epoch AI run)90.9%95.8%GPT-6 Astra
ARC-AGINot measured98.5%Only GPT-6 Astra measured
ARC-AGI-2Not measured95.0%Only GPT-6 Astra measured
Chess puzzles37.0%74.0%GPT-6 Astra
Mystery game puzzles33.0%84.0%GPT-6 Astra
EBR-benchNot measured76.2%Only GPT-6 Astra measured
LMArena Text: hard prompts14901463GLM 5.3
LMArena Text: expert15141489GLM 5.3
LMArena Text: hard prompts in English14961464GLM 5.3
LMArena Vision: diagramsNot measured1297Only GPT-6 Astra measured
LMArena Vision: homeworkNot measured1337Only GPT-6 Astra 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 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
OTIS Mock AIME91.1%100.0%GPT-6 Astra
FrontierMath, tiers 1 to 368.8%93.7%GPT-6 Astra
FrontierMath, tier 429.3%97.6%GPT-6 Astra
ProofBench49.0%99.0%GPT-6 Astra
LMArena Text: math14951465GLM 5.3
LMArena Text: mathematical work14971484GLM 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 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
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%48.5%GPT-6 Astra
SimpleQA Verified41.0%75.6%GPT-6 Astra
LMArena Text: science14981451GLM 5.3
LMArena Text: medicine and healthcare14811425GLM 5.3
LMArena Text: legal and government14731462GLM 5.3
LMArena Text: business and finance14591439GLM 5.3
FACTS Benchmark SuiteNot measured75.7%Only GPT-6 Astra measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for GLM 5.3 and GPT-6 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
Design Arena: websites12951336GPT-6 Astra
Design Arena: UI components13141393GPT-6 Astra
Design Arena: game dev13111478GPT-6 Astra
Design Arena: data viz12601335GPT-6 Astra
Design Arena: 3D13321500GPT-6 Astra
Design Arena: all code categories13041379GPT-6 Astra
Design Arena: SVG12941431GPT-6 Astra
Design Arena: ASCII art12081353GPT-6 Astra
LiveBench design77.3%82.0%GPT-6 Astra
GeneralLike-for-likePublic boards, shown as published, kept out of the index185
General benchmarks for GLM 5.3 and GPT-6 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
Vals Index59.7%65.0%GPT-6 Astra
LiveBench data analysis70.2%83.0%GPT-6 Astra
Public Benefits Bench (Vals AI)68.5%Not measuredOnly GLM 5.3 measured
SAGE (Vals AI)Not measured46.4%Only GPT-6 Astra measured
MedScribe (Vals AI)88.8%87.9%GLM 5.3
Long context reasoning (AA-LCR)79.7%80.7%GPT-6 Astra
DTBench87.7%97.3%GPT-6 Astra
LMCA55.5%64.4%GPT-6 Astra
Furniture assemblyNot measured80.0%Only GPT-6 Astra measured
LMArena Text14741441GLM 5.3
LMArena Text: instruction following14791455GLM 5.3
LMArena Text: creative writing14581420GLM 5.3
LMArena VisionNot measured1280Only GPT-6 Astra measured
LMArena Text: English14821447GLM 5.3
LMArena Text: non-English14591432GLM 5.3
LMArena Text: Chinese15321489GLM 5.3
LMArena Text: German14881459GLM 5.3
LMArena Text: Japanese14601405GLM 5.3
LMArena Text: Korean14601428GLM 5.3
LMArena Text: French15031432GLM 5.3
LMArena Text: Spanish14621422GLM 5.3
LMArena Text: Russian14691438GLM 5.3
LMArena Text: Polish14661422GLM 5.3
LMArena Text: multi-turn14721447GLM 5.3
LMArena Text: longer queries14831460GLM 5.3
LMArena Text: writing and language14691437GLM 5.3
LMArena Text: entertainment and media14471427GLM 5.3
LMArena Vision: EnglishNot measured1280Only GPT-6 Astra measured
LMArena Vision: ChineseNot measured1361Only GPT-6 Astra measured
LMArena Vision: reading textNot measured1292Only GPT-6 Astra measured
LMArena Vision: creative writingNot measured1286Only GPT-6 Astra 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 Astra
BenchmarkGLM 5.3GPT-6 AstraLeader
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$0.0036Fits in one request
GPT-6 Astra$0.035Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.083Fits in one request
GPT-6 Astra$0.650Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.324Fits in one request
GPT-6 Astra$2.50Fits in one request

GLM 5.3 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 Astra
SpecificationZ.ai GLM 5.3OpenAI GPT-6 Astra
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 18, 2026September 4, 2026
Context window1.05M1.05M
Input $/Mtok$1.40$10.00
Output $/Mtok$4.40$50.00
Coding index70.685.1
Independent measurements behind it65
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 70.6 for GLM 5.3, though on 5 benchmarks against 6. Pick GLM 5.3 for output tokens 11.4x cheaper ($4.40 vs $50.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

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

GLM 5.3 costs $1.40 per million input tokens and $4.40 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. Cost per solved task is known for GLM 5.3 only.

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

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

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

91 benchmarks have a result for both models as of October 22, 2026. GLM 5.3's coding index rests on 6 independent benchmarks and GPT-6 Astra's on 5. Where only one model has a result, the page says so instead of naming a winner.

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