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GLM 4.6 vs GPT-5.5

Updated October 21, 2026. 58 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.6 Replace GPT-5.5
GLM 4.6Z.ai
Coding
52.2
Overall
18.5
Output $/M
$2.20
1
GPT-5.5OpenAI
Coding
67.8
Overall
38.4
Output $/M
$30.00
57
vs boards won of 58 shared

Decision reading

Pick GPT-5.5 for coding: it scores 67.8 on the Vibe Coding Index against 52.2 for GLM 4.6.

Pick GLM 4.6 when output tokens cost 13.6x less, or when the benchmark that matters is Design Arena: agents building Godot games, where it leads.

Model AGLM 4.6Z.ai52.2/1002 independent benchmarksNo cost per solved taskModel BGPT-5.5OpenAI67.8/1002 independent benchmarks$1.65 per solved task
Shared results
58
GLM 4.6 only
8
GPT-5.5 only
74
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 4.6 52.2 from 2 benchmarks, GPT-5.5 67.8 from 2 benchmarks.
Widest category
Coding, 31.6 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 4.6 3.1% against GPT-5.5 69.8%, 66.8 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against GPT-5.5 $30.00 per million output tokens, 13.6x apart.
Context window
GLM 4.6 takes 205K tokens, GPT-5.5 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 4.6BarsGPT-5.5Ties
Coding010
Intelligence01
Agentic work14
Reasoning06
Math02
Knowledge08
Web design07
General019
All shared boards157
CodingLike-for-likeFour of these boards feed the Vibe Coding Index010
Coding benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LiveBench codingNot measured85.1%Only GPT-5.5 measured
LMArena WebDev13411513GPT-5.5
AA Coding Index45.874.9GPT-5.5
LiveCodeBench (Vals AI)81.0%85.3%GPT-5.5
SWE-bench Verified (Vals AI)Not measured82.6%Only GPT-5.5 measured
Vibe Code Bench (Vals AI)3.1%69.8%GPT-5.5
Code migration (Vals AI)Not measured45.2%Only GPT-5.5 measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured76.4%Only GPT-5.5 measured
SkillsBench (Vals AI)Not measured62.5%Only GPT-5.5 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured56.1%Only GPT-5.5 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%60.6%GPT-5.5
Terminal-Bench24.5%84.7%GPT-5.5
FrontierCodeNot measured43.0%Only GPT-5.5 measured
GSO-BenchNot measured40.2%Only GPT-5.5 measured
WeirdMLNot measured84.9%Only GPT-5.5 measured
MirrorCodeNot measured10.0%Only GPT-5.5 measured
ALE-Bench340.81943.0GPT-5.5
LMArena Text: coding14491494GPT-5.5
LMArena Text: software and IT14551493GPT-5.5
LMArena WebDev: ReactNot measured1506Only GPT-5.5 measured
LMArena WebDev: HTML13501543GPT-5.5
LMArena WebDev: from an imageNot measured1532Only GPT-5.5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
AA Intelligence Index18.538.4GPT-5.5
Epoch Capabilities IndexNot measured159.7Only GPT-5.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
AA Agentic IndexNot measured36.4Only GPT-5.5 measured
Design Arena: agents building web appsNot measured1117Only GPT-5.5 measured
Design Arena: agents building full-stack apps10291089GPT-5.5
Design Arena: agents building mobile apps10961143GPT-5.5
Design Arena: agents building Android apps10901169GPT-5.5
Design Arena: agents building Godot games11801173GLM 4.6
Design Arena: agents building gamesNot measured1179Only GPT-5.5 measured
Design Arena: HTML slidesNot measured1067Only GPT-5.5 measured
Design Arena: PowerPoint slidesNot measured1108Only GPT-5.5 measured
LiveBench researchNot measured61.6%Only GPT-5.5 measured
LiveBench browserNot measured48.0%Only GPT-5.5 measured
LiveBench long agenticNot measured44.6%Only GPT-5.5 measured
SREBench (Vals AI)Not measured3.8%Only GPT-5.5 measured
Finance Agent (Vals AI)Not measured51.8%Only GPT-5.5 measured
Tax Agent Bench (Vals AI)Not measured21.8%Only GPT-5.5 measured
Legal Research Bench (Vals AI)Not measured40.4%Only GPT-5.5 measured
Excel Modeling Benchmark (Vals AI)Not measured64.5%Only GPT-5.5 measured
Time Horizon Index (Vals AI)Not measured8.3%Only GPT-5.5 measured
τ²-Bench Telecom76.9%93.9%GPT-5.5
APEX-AgentsNot measured55.1%Only GPT-5.5 measured
Remote Labor IndexNot measured6.3%Only GPT-5.5 measured
OSWorld 2.0Not measured13.0%Only GPT-5.5 measured
DeepResearch BenchNot measured54.0%Only GPT-5.5 measured
PostTrainBenchNot measured27.2%Only GPT-5.5 measured
Vending-Bench 2Not measured$7,524Only GPT-5.5 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
GPQA Diamond74.5%93.2%GPT-5.5
LiveBench reasoningNot measured89.7%Only GPT-5.5 measured
MMMU Pro (Vals AI)Not measured88.3%Only GPT-5.5 measured
GPQA Diamond (Artificial Analysis run)78.0%93.5%GPT-5.5
Humanity's Last Exam (Artificial Analysis run)14.5%45.8%GPT-5.5
GPQA Diamond (Epoch AI run)Not measured90.7%Only GPT-5.5 measured
ARC-AGINot measured95.0%Only GPT-5.5 measured
ARC-AGI-2Not measured85.0%Only GPT-5.5 measured
SimpleBenchNot measured69.0%Only GPT-5.5 measured
Chess puzzlesNot measured63.0%Only GPT-5.5 measured
Mystery game puzzlesNot measured56.0%Only GPT-5.5 measured
EBR-benchNot measured34.3%Only GPT-5.5 measured
LMArena Text: hard prompts14401489GPT-5.5
LMArena Text: expert14321507GPT-5.5
LMArena Text: hard prompts in English14451483GPT-5.5
LMArena Vision: diagramsNot measured1325Only GPT-5.5 measured
LMArena Vision: homeworkNot measured1332Only GPT-5.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
OTIS Mock AIMENot measured84.4%Only GPT-5.5 measured
FrontierMath, tiers 1 to 3Not measured85.3%Only GPT-5.5 measured
FrontierMath, tier 4Not measured72.5%Only GPT-5.5 measured
ProofBenchNot measured50.0%Only GPT-5.5 measured
LMArena Text: math14321487GPT-5.5
LMArena Text: mathematical work14471496GPT-5.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
MMLU Pro82.2%88.1%GPT-5.5
LegalBench (Vals AI)79.6%86.5%GPT-5.5
CaseLaw (Vals AI)Not measured66.2%Only GPT-5.5 measured
CorpFin (Vals AI)56.8%68.4%GPT-5.5
TaxEval (Vals AI)66.2%75.0%GPT-5.5
MortgageTax (Vals AI)Not measured68.8%Only GPT-5.5 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured49.1%Only GPT-5.5 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
SimpleQA VerifiedNot measured63.0%Only GPT-5.5 measured
LMArena Text: science14561485GPT-5.5
LMArena Text: medicine and healthcare14551465GPT-5.5
LMArena Text: legal and government14481491GPT-5.5
LMArena Text: business and finance14161478GPT-5.5
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
Design Arena: websites11741256GPT-5.5
Design Arena: UI components11471260GPT-5.5
Design Arena: game dev11511294GPT-5.5
Design Arena: data viz11611265GPT-5.5
Design Arena: 3D11291198GPT-5.5
Design Arena: all code categories11661260GPT-5.5
Design Arena: SVG11081234GPT-5.5
Design Arena: ASCII artNot measured1254Only GPT-5.5 measured
LiveBench designNot measured70.3%Only GPT-5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
LiveBench data analysisNot measured81.6%Only GPT-5.5 measured
Public Benefits Bench (Vals AI)Not measured60.9%Only GPT-5.5 measured
SAGE (Vals AI)Not measured51.5%Only GPT-5.5 measured
MedScribe (Vals AI)Not measured86.9%Only GPT-5.5 measured
Vals Multimodal IndexNot measured68.1%Only GPT-5.5 measured
IFBench43.4%75.9%GPT-5.5
Long context reasoning (AA-LCR)54.0%84.3%GPT-5.5
DTBenchNot measured96.0%Only GPT-5.5 measured
LMCANot measured54.3%Only GPT-5.5 measured
Surface Evolver BenchNot measured88.1%Only GPT-5.5 measured
Furniture assemblyNot measured44.2%Only GPT-5.5 measured
ExploitBenchNot measured47.4%Only GPT-5.5 measured
CL-bench LifeNot measured22.2%Only GPT-5.5 measured
LMArena Text14401471GPT-5.5
LMArena Text: instruction following14101478GPT-5.5
LMArena Text: creative writing14121455GPT-5.5
LMArena VisionNot measured1297Only GPT-5.5 measured
LMArena Text: English14491470GPT-5.5
LMArena Text: non-English14261467GPT-5.5
LMArena Text: Chinese14991534GPT-5.5
LMArena Text: German14471480GPT-5.5
LMArena Text: Japanese13931499GPT-5.5
LMArena Text: Korean14001460GPT-5.5
LMArena Text: French14591485GPT-5.5
LMArena Text: Spanish14361468GPT-5.5
LMArena Text: Russian14181473GPT-5.5
LMArena Text: Polish14471465GPT-5.5
LMArena Text: multi-turn14271476GPT-5.5
LMArena Text: longer queries14221484GPT-5.5
LMArena Text: writing and language14151466GPT-5.5
LMArena Text: entertainment and media14091449GPT-5.5
LMArena Vision: EnglishNot measured1292Only GPT-5.5 measured
LMArena Vision: ChineseNot measured1360Only GPT-5.5 measured
LMArena Vision: reading textNot measured1306Only GPT-5.5 measured
LMArena Vision: humorNot measured1293Only GPT-5.5 measured
LMArena Vision: recognizing thingsNot measured1231Only GPT-5.5 measured
LMArena Vision: creative writingNot measured1301Only GPT-5.5 measured
LMArena DocumentNot measured1486Only GPT-5.5 measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and GPT-5.5
BenchmarkGLM 4.6GPT-5.5Leader
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 4.6$0.0016Fits in one request
GPT-5.5$0.020Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.034Fits in one request
GPT-5.5$0.340Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.132Exceeds the context window
GPT-5.5$1.30Fits in one request

GLM 4.6 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 4.6 and GPT-5.5
SpecificationZ.ai GLM 4.6OpenAI GPT-5.5
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025April 24, 2026
Context window205K1.05M
Input $/Mtok$0.55$5.00
Output $/Mtok$2.20$30.00
Coding index52.267.8
Independent measurements behind it22
Cost per solved taskNot computable$1.65
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than GPT-5.5 for coding?

Pick GPT-5.5 for coding: it scores 67.8 on the Vibe Coding Index against 52.2 for GLM 4.6. Pick GLM 4.6 when output tokens cost 13.6x less, or when the benchmark that matters is Design Arena: agents building Godot games, where it leads.

Which is cheaper, GLM 4.6 or GPT-5.5?

GLM 4.6 costs $0.55 per million input tokens and $2.20 per million output tokens; GPT-5.5 costs $5.00 and $30.00. Cost per solved task is known for GPT-5.5 only.

Which has the bigger context window, GLM 4.6 or GPT-5.5?

GPT-5.5, with 1.05M tokens against 205K.

How many benchmarks is the GLM 4.6 vs GPT-5.5 comparison based on?

58 benchmarks have a result for both models as of October 21, 2026. GLM 4.6's coding index rests on 2 independent benchmarks and GPT-5.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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