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GLM 5.3 vs GPT-5.6 Terra

Updated October 21, 2026. 96 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.3 Replace GPT-5.6 Terra
GLM 5.3Z.ai
Coding
73.1
Overall
44.8
Output $/M
$1.40
59
GPT-5.6 TerraOpenAI
Coding
69.0
Overall
42.1
Output $/M
$12.00
35
vs boards won of 96 shared, 2 tied

Decision reading

Pick GLM 5.3 for coding: it scores 73.1 on the Vibe Coding Index against 69.0 for GPT-5.6 Terra.

Pick GPT-5.6 Terra when the context window is larger, 1.05M against 1.05M tokens, or when what matters is LiveBench coding or AA Coding Index, where it leads.

Model AGLM 5.3Z.ai73.1/1002 independent benchmarks$0.36 per solved taskModel BGPT-5.6 TerraOpenAI69.0/1002 independent benchmarks$0.42 per solved task
Shared results
96
GLM 5.3 only
4
GPT-5.6 Terra only
28
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-5.6 Terra 69.0 from 2 benchmarks.
Widest category
Math, 16.7 points apart on average over 6 shared benchmarks.
Widest single gap
LiveBench browser: GLM 5.3 0.0% against GPT-5.6 Terra 84.0%, 84.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $1.40 against GPT-5.6 Terra $12.00 per million output tokens, 8.6x apart.
Context window
GLM 5.3 takes 1.05M tokens, GPT-5.6 Terra 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-5.6 TerraTies
Coding10102 ties
Intelligence11
Agentic work96
Reasoning37
Math24
Knowledge54
Web design90
General203
All shared boards59352 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index1010
Coding benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
LiveBench coding82.8%86.2%GPT-5.6 Terra
LMArena WebDev16211522GLM 5.3
AA Coding Index74.876.7GPT-5.6 Terra
LiveCodeBench (Vals AI)80.5%85.9%GPT-5.6 Terra
SWE-bench Verified (Vals AI)95.4%95.4%Tie
Terminal-Bench 4 (Vals AI)38.9%22.7%GLM 5.3
Vibe Code Bench (Vals AI)78.1%74.6%GLM 5.3
Code migration (Vals AI)44.2%47.8%GPT-5.6 Terra
ProgramBench (Vals AI)1.5%0.5%GLM 5.3
IOI (Vals AI)68.4%87.6%GPT-5.6 Terra
Terminal-Bench 2.1 (Vals AI)71.5%77.5%GPT-5.6 Terra
Vibe Code Bench 1-100 (Vals AI)20.0%14.8%GLM 5.3
SkillsBench (Vals AI)47.5%58.9%GPT-5.6 Terra
CyberBench (Vals AI)72.1%72.1%Tie
SciCode59.0%55.0%GLM 5.3
Terminal-Bench Hard (Artificial Analysis run)Not measured62.9%Only GPT-5.6 Terra measured
FrontierCode40.1%41.3%GPT-5.6 Terra
FrontierSWE30.2%Not measuredOnly GLM 5.3 measured
WeirdML75.4%78.3%GPT-5.6 Terra
ALE-Bench1317.41951.4GPT-5.6 Terra
LMArena Text: coding14971485GLM 5.3
LMArena Text: software and IT14931482GLM 5.3
LMArena WebDev: React16411513GLM 5.3
LMArena WebDev: HTML15951526GLM 5.3
LMArena WebDev: from an imageNot measured1541Only GPT-5.6 Terra 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-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
AA Intelligence Index44.842.1GLM 5.3
Epoch Capabilities Index156.0160.1GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index96
Agentic work benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
AA Agentic Index53.143.2GLM 5.3
Design Arena: agents building web appsNot measured1120Only GPT-5.6 Terra measured
Design Arena: agents building full-stack appsNot measured1061Only GPT-5.6 Terra measured
Design Arena: agents building mobile apps11941112GLM 5.3
Design Arena: agents building Android appsNot measured1066Only GPT-5.6 Terra measured
Design Arena: agents building gamesNot measured1082Only GPT-5.6 Terra measured
Design Arena: HTML slides11891108GLM 5.3
Design Arena: PowerPoint slides12551130GLM 5.3
LiveBench research73.2%60.4%GLM 5.3
LiveBench browser0.0%84.0%GPT-5.6 Terra
LiveBench long agentic35.9%48.4%GPT-5.6 Terra
SREBench (Vals AI)9.2%9.5%GPT-5.6 Terra
Finance Agent (Vals AI)55.8%54.4%GLM 5.3
Tax Agent Bench (Vals AI)39.7%30.0%GLM 5.3
Legal Research Bench (Vals AI)49.0%41.4%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)14.6%Not measuredOnly GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)56.3%66.2%GPT-5.6 Terra
Terminal-Bench-Science (Vals AI)5.7%10.0%GPT-5.6 Terra
τ²-Bench TelecomNot measured86.3%Only GPT-5.6 Terra measured
APEX-Agents56.6%58.2%GPT-5.6 Terra
BALROGNot measured53.2%Only GPT-5.6 Terra measured
Vending-Bench 2$8,164$7,343GLM 5.3
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index37
Reasoning benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
GPQA Diamond88.1%90.9%GPT-5.6 Terra
LiveBench reasoning85.8%90.6%GPT-5.6 Terra
MysteryMechanism (Vals AI)23.0%Not measuredOnly GLM 5.3 measured
MMMU Pro (Vals AI)Not measured86.5%Only GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)91.7%92.5%GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)42.3%42.9%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)90.9%93.3%GPT-5.6 Terra
ARC-AGINot measured96.5%Only GPT-5.6 Terra measured
ARC-AGI-2Not measured83.9%Only GPT-5.6 Terra measured
SimpleBenchNot measured48.9%Only GPT-5.6 Terra measured
Chess puzzles37.0%47.0%GPT-5.6 Terra
Mystery game puzzles33.0%35.0%GPT-5.6 Terra
LMArena Text: hard prompts14901469GLM 5.3
LMArena Text: expert15141496GLM 5.3
LMArena Text: hard prompts in English14961465GLM 5.3
LMArena Vision: diagramsNot measured1295Only GPT-5.6 Terra measured
LMArena Vision: homeworkNot measured1312Only GPT-5.6 Terra measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
OTIS Mock AIME91.1%99.7%GPT-5.6 Terra
FrontierMath, tiers 1 to 368.8%86.0%GPT-5.6 Terra
FrontierMath, tier 429.3%70.7%GPT-5.6 Terra
ProofBench49.0%74.0%GPT-5.6 Terra
LMArena Text: math14951465GLM 5.3
LMArena Text: mathematical work14971478GLM 5.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
Knowledge benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
MMLU Pro86.8%86.7%GLM 5.3
LegalBench (Vals AI)84.8%85.1%GPT-5.6 Terra
CorpFin (Vals AI)Not measured65.3%Only GPT-5.6 Terra measured
TaxEval (Vals AI)72.4%76.2%GPT-5.6 Terra
MortgageTax (Vals AI)Not measured67.3%Only GPT-5.6 Terra measured
MedCode (Vals AI)42.9%43.4%GPT-5.6 Terra
SimpleQA Verified41.0%43.2%GPT-5.6 Terra
LMArena Text: science14981452GLM 5.3
LMArena Text: medicine and healthcare14811430GLM 5.3
LMArena Text: legal and government14731461GLM 5.3
LMArena Text: business and finance14591448GLM 5.3
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
Design Arena: websites12951269GLM 5.3
Design Arena: UI components13141259GLM 5.3
Design Arena: game dev13111230GLM 5.3
Design Arena: data viz12601240GLM 5.3
Design Arena: 3D13321135GLM 5.3
Design Arena: all code categories13041241GLM 5.3
Design Arena: SVG12921220GLM 5.3
Design Arena: ASCII art12131177GLM 5.3
LiveBench design77.3%76.0%GLM 5.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index203
General benchmarks for GLM 5.3 and GPT-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
Vals Index59.7%Not measuredOnly GLM 5.3 measured
LiveBench data analysis70.2%79.3%GPT-5.6 Terra
Public Benefits Bench (Vals AI)68.5%62.4%GLM 5.3
SAGE (Vals AI)Not measured47.0%Only GPT-5.6 Terra measured
MedScribe (Vals AI)88.8%82.9%GLM 5.3
Vals Multimodal IndexNot measured65.1%Only GPT-5.6 Terra measured
IFBenchNot measured71.2%Only GPT-5.6 Terra measured
Long context reasoning (AA-LCR)79.7%83.0%GPT-5.6 Terra
DTBench87.7%93.3%GPT-5.6 Terra
LMCA55.5%54.9%GLM 5.3
Surface Evolver BenchNot measured83.8%Only GPT-5.6 Terra measured
Furniture assemblyNot measured54.2%Only GPT-5.6 Terra measured
LMArena Text14741448GLM 5.3
LMArena Text: instruction following14791456GLM 5.3
LMArena Text: creative writing14581413GLM 5.3
LMArena VisionNot measured1271Only GPT-5.6 Terra measured
LMArena Text: English14821449GLM 5.3
LMArena Text: non-English14591441GLM 5.3
LMArena Text: Chinese15321514GLM 5.3
LMArena Text: German14881460GLM 5.3
LMArena Text: Japanese14601454GLM 5.3
LMArena Text: Korean14601427GLM 5.3
LMArena Text: French15031466GLM 5.3
LMArena Text: Spanish14621451GLM 5.3
LMArena Text: Russian14691452GLM 5.3
LMArena Text: Polish14661446GLM 5.3
LMArena Text: multi-turn14721453GLM 5.3
LMArena Text: longer queries14831454GLM 5.3
LMArena Text: writing and language14691431GLM 5.3
LMArena Text: entertainment and media14471418GLM 5.3
LMArena Vision: EnglishNot measured1272Only GPT-5.6 Terra measured
LMArena Vision: ChineseNot measured1337Only GPT-5.6 Terra measured
LMArena Vision: reading textNot measured1278Only GPT-5.6 Terra measured
LMArena Vision: humorNot measured1236Only GPT-5.6 Terra measured
LMArena Vision: creative writingNot measured1248Only GPT-5.6 Terra measured
LMArena DocumentNot measured1472Only GPT-5.6 Terra measured
Neither model has a result on the other 10 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-5.6 Terra
BenchmarkGLM 5.3GPT-5.6 TerraLeader
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-5.6 Terra$0.0080Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.0081Fits in one request
GPT-5.6 Terra$0.136Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.030Fits in one request
GPT-5.6 Terra$0.520Fits 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-5.6 Terra
SpecificationZ.ai GLM 5.3OpenAI GPT-5.6 Terra
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 18, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$0.079$2.00
Output $/Mtok$1.40$12.00
Coding index73.169.0
Independent measurements behind it22
Cost per solved task$0.36$0.42
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than GPT-5.6 Terra for coding?

Pick GLM 5.3 for coding: it scores 73.1 on the Vibe Coding Index against 69.0 for GPT-5.6 Terra. Pick GPT-5.6 Terra when the context window is larger, 1.05M against 1.05M tokens, or when what matters is LiveBench coding or AA Coding Index, where it leads.

Which is cheaper, GLM 5.3 or GPT-5.6 Terra?

GLM 5.3 costs $0.079 per million input tokens and $1.40 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Per solved SWE-bench Verified task, GLM 5.3 costs $0.36 and GPT-5.6 Terra $0.42.

Which has the bigger context window, GLM 5.3 or GPT-5.6 Terra?

GPT-5.6 Terra, with 1.05M tokens against 1.05M.

How many benchmarks is the GLM 5.3 vs GPT-5.6 Terra comparison based on?

96 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-5.6 Terra's on 2. Where only one model has a result, the page says so instead of naming a winner.

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