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GLM 4.6 vs GPT-4

Updated October 21, 2026. 34 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-4
GLM 4.6Z.ai
Coding
52.2
Overall
18.5
Output $/M
$2.20
34
GPT-4OpenAI
Coding
22.4
Overall
6.7
Output $/M
$60.00
0
vs boards won of 34 shared

Decision reading

Pick GLM 4.6 for coding: it scores 52.2 on the Vibe Coding Index against 22.4 for GPT-4.

GPT-4 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGLM 4.6Z.ai52.2/1002 independent benchmarksNo cost per solved taskModel BGPT-4OpenAI22.4/1001 independent benchmarkNo cost per solved task
Shared results
34
GLM 4.6 only
32
GPT-4 only
11
Like-for-like categories
6 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-4 22.4 from 1 benchmark.
Widest category
Knowledge, 42.5 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GLM 4.6 1499 against GPT-4 1184, 52.5 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against GPT-4 $60.00 per million output tokens, 27.3x apart.
Context window
GLM 4.6 takes 205K tokens, GPT-4 8K.

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-4Ties
Coding40
Intelligence10
Reasoning40
Math20
Knowledge50
General180
All shared boards340
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
SWE-bench Verified68.2%22.4%GLM 4.6
SWE-bench LiteNot measured39.7%Only GPT-4 measured
SWE-bench (full test set)Not measured12.5%Only GPT-4 measured
LMArena WebDev1341Not measuredOnly GLM 4.6 measured
AA Coding Index45.813.1GLM 4.6
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%Not measuredOnly GLM 4.6 measured
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491209GLM 4.6
LMArena Text: software and IT14551195GLM 4.6
LMArena WebDev: HTML1350Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
AA Intelligence Index18.56.7GLM 4.6
Epoch Capabilities IndexNot measured125.7Only GPT-4 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
Design Arena: agents building full-stack apps1029Not measuredOnly GLM 4.6 measured
Design Arena: agents building mobile apps1096Not measuredOnly GLM 4.6 measured
Design Arena: agents building Android apps1090Not measuredOnly GLM 4.6 measured
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
τ²-Bench Telecom76.9%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)78.0%34.9%GLM 4.6
Humanity's Last Exam (Artificial Analysis run)14.5%Not measuredOnly GLM 4.6 measured
BIG-Bench HardNot measured75.1%Only GPT-4 measured
LMArena Text: hard prompts14401200GLM 4.6
LMArena Text: expert14321149GLM 4.6
LMArena Text: hard prompts in English14451209GLM 4.6
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
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
GSM8KNot measured92.0%Only GPT-4 measured
LMArena Text: math14321230GLM 4.6
LMArena Text: mathematical work14471228GLM 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
MMLU Pro82.2%Not measuredOnly GLM 4.6 measured
LegalBench (Vals AI)79.6%Not measuredOnly GLM 4.6 measured
CorpFin (Vals AI)56.8%Not measuredOnly GLM 4.6 measured
TaxEval (Vals AI)66.2%Not measuredOnly GLM 4.6 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MMLU Pro (Artificial Analysis run)82.9%56.2%GLM 4.6
MMLUNot measured86.4%Only GPT-4 measured
AI2 Reasoning ChallengeNot measured96.3%Only GPT-4 measured
LMArena Text: science14561177GLM 4.6
LMArena Text: medicine and healthcare14551145GLM 4.6
LMArena Text: legal and government14481191GLM 4.6
LMArena Text: business and finance14161145GLM 4.6
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
Design Arena: websites1174Not measuredOnly GLM 4.6 measured
Design Arena: UI components1147Not measuredOnly GLM 4.6 measured
Design Arena: game dev1151Not measuredOnly GLM 4.6 measured
Design Arena: data viz1161Not measuredOnly GLM 4.6 measured
Design Arena: 3D1129Not measuredOnly GLM 4.6 measured
Design Arena: all code categories1166Not measuredOnly GLM 4.6 measured
Design Arena: SVG1108Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 4.6 and GPT-4
BenchmarkGLM 4.6GPT-4Leader
IFBench43.4%33.2%GLM 4.6
Long context reasoning (AA-LCR)54.0%Not measuredOnly GLM 4.6 measured
DTBenchNot measured62.7%Only GPT-4 measured
LMCANot measured17.1%Only GPT-4 measured
HellaSwagNot measured95.3%Only GPT-4 measured
WinoGrandeNot measured87.5%Only GPT-4 measured
LMArena Text14401206GLM 4.6
LMArena Text: instruction following14101201GLM 4.6
LMArena Text: creative writing14121191GLM 4.6
LMArena Text: English14491220GLM 4.6
LMArena Text: non-English14261194GLM 4.6
LMArena Text: Chinese14991184GLM 4.6
LMArena Text: German14471198GLM 4.6
LMArena Text: Japanese13931137GLM 4.6
LMArena Text: Korean14001087GLM 4.6
LMArena Text: French14591220GLM 4.6
LMArena Text: Spanish14361197GLM 4.6
LMArena Text: Russian14181195GLM 4.6
LMArena Text: Polish14471265GLM 4.6
LMArena Text: multi-turn14271206GLM 4.6
LMArena Text: longer queries14221190GLM 4.6
LMArena Text: writing and language14151219GLM 4.6
LMArena Text: entertainment and media14091184GLM 4.6
Neither model has a result on the other 23 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-4
BenchmarkGLM 4.6GPT-4Leader
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-4$0.060Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.034Fits in one request
GPT-4$1.68Exceeds the context window

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.132Exceeds the context window
GPT-4$6.60Exceeds the context window

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-4
SpecificationZ.ai GLM 4.6OpenAI GPT-4
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025May 28, 2023
Context window205K8K
Input $/Mtok$0.55$30.00
Output $/Mtok$2.20$60.00
Coding index52.222.4
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than GPT-4 for coding?

Pick GLM 4.6 for coding: it scores 52.2 on the Vibe Coding Index against 22.4 for GPT-4. GPT-4 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GLM 4.6 or GPT-4?

GLM 4.6 costs $0.55 per million input tokens and $2.20 per million output tokens; GPT-4 costs $30.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.6 or GPT-4?

GLM 4.6, with 205K tokens against 8K.

How many benchmarks is the GLM 4.6 vs GPT-4 comparison based on?

34 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-4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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