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GLM 4.5 vs GPT-4

GLM 4.5 leads GPT-4 on the Artificial Analysis Intelligence Index, 12.8 to 6.7, and GLM 4.5 costs 27.3x less per output token ($2.20 vs $60.00 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Replace GLM 4.5 Replace GPT-4
GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
33
GPT-4OpenAI
Coding
No data
Overall
No data
Output $/M
$60.00
0
vs boards won of 33 shared

GLM 4.5 or GPT-4: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 4.5 for output tokens 27.3x cheaper ($2.20 vs $60.00 per million) and a larger context window (131K against 8K tokens).

Model AGLM 4.5Z.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
GLM 4.5 only
28
GPT-4 only
12
Like-for-like categories
6 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 4.5 not benchmarked, GPT-4 not benchmarked.
Widest category
Knowledge, 42.1 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: GLM 4.5 1455 against GPT-4 1145, 51.6 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against GPT-4 $60.00 per million output tokens, 27.3x apart.
Context window
GLM 4.5 takes 131K 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 4.5BarsGPT-4Ties
Coding30
Intelligence10
Reasoning40
Math20
Knowledge50
General180
All shared boards330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
SWE-bench Verified64.2%22.4%GLM 4.5
SWE-bench LiteNot measured39.7%Only GPT-4 measured
SWE-bench (full test set)Not measured12.5%Only GPT-4 measured
AA Coding IndexNot measured13.1Only GPT-4 measured
LiveCodeBench (Vals AI)67.5%Not measuredOnly GLM 4.5 measured
LiveCodeBench (Artificial Analysis run)73.8%Not measuredOnly GLM 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.5 measured
WeirdML40.6%Not measuredOnly GLM 4.5 measured
ALE-Bench344.8Not measuredOnly GLM 4.5 measured
LMArena Text: coding14341209GLM 4.5
LMArena Text: software and IT14401195GLM 4.5
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
AA Intelligence Index12.86.7GLM 4.5
Epoch Capabilities IndexNot measured125.7Only GPT-4 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
τ²-Bench Telecom43.0%Not measuredOnly GLM 4.5 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
GPQA Diamond72.2%Not measuredOnly GLM 4.5 measured
GPQA Diamond (Artificial Analysis run)78.2%34.9%GLM 4.5
Humanity's Last Exam (Artificial Analysis run)13.0%Not measuredOnly GLM 4.5 measured
BIG-Bench HardNot measured75.1%Only GPT-4 measured
LMArena Text: hard prompts14291200GLM 4.5
LMArena Text: expert14331149GLM 4.5
LMArena Text: hard prompts in English14291209GLM 4.5
Kagi LLM Benchmark57.9%Not measuredOnly GLM 4.5 measured
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 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
AIME86.7%Not measuredOnly GLM 4.5 measured
MATH 500 (Vals AI)94.0%Not measuredOnly GLM 4.5 measured
MGSM (Vals AI)90.8%Not measuredOnly GLM 4.5 measured
AA Math Index73.7Not measuredOnly GLM 4.5 measured
AIME 2025 (Artificial Analysis run)73.7%Not measuredOnly GLM 4.5 measured
GSM8KNot measured92.0%Only GPT-4 measured
LMArena Text: math14271230GLM 4.5
LMArena Text: mathematical work14301228GLM 4.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
MMLU Pro81.2%Not measuredOnly GLM 4.5 measured
LegalBench (Vals AI)75.6%Not measuredOnly GLM 4.5 measured
CorpFin (Vals AI)61.0%Not measuredOnly GLM 4.5 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 4.5 measured
MedQA (Vals AI)90.0%Not measuredOnly GLM 4.5 measured
MMLU Pro (Artificial Analysis run)83.5%56.2%GLM 4.5
MMLUNot measured86.4%Only GPT-4 measured
AI2 Reasoning ChallengeNot measured96.3%Only GPT-4 measured
LMArena Text: science14441177GLM 4.5
LMArena Text: medicine and healthcare14551145GLM 4.5
LMArena Text: legal and government14381191GLM 4.5
LMArena Text: business and finance14201145GLM 4.5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
Design Arena: websites1170Not measuredOnly GLM 4.5 measured
Design Arena: UI components1144Not measuredOnly GLM 4.5 measured
Design Arena: game dev1145Not measuredOnly GLM 4.5 measured
Design Arena: data viz1159Not measuredOnly GLM 4.5 measured
Design Arena: 3D1170Not measuredOnly GLM 4.5 measured
Design Arena: all code categories1165Not measuredOnly GLM 4.5 measured
Design Arena: SVG1096Not measuredOnly GLM 4.5 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 4.5 and GPT-4
BenchmarkGLM 4.5GPT-4Leader
IFBench44.1%33.2%GLM 4.5
Long context reasoning (AA-LCR)52.7%Not measuredOnly GLM 4.5 measured
DTBenchNot measured62.7%Only GPT-4 measured
LMCANot measured17.1%Only GPT-4 measured
Creative writing (Lech Mazur)73.4%Not measuredOnly GLM 4.5 measured
HellaSwagNot measured95.3%Only GPT-4 measured
WinoGrandeNot measured87.5%Only GPT-4 measured
LMArena Text14301206GLM 4.5
LMArena Text: instruction following14041201GLM 4.5
LMArena Text: creative writing13951191GLM 4.5
LMArena Text: English14371220GLM 4.5
LMArena Text: non-English14171194GLM 4.5
LMArena Text: Chinese14651184GLM 4.5
LMArena Text: German14071198GLM 4.5
LMArena Text: Japanese14151137GLM 4.5
LMArena Text: Korean13801087GLM 4.5
LMArena Text: French14181220GLM 4.5
LMArena Text: Spanish14541197GLM 4.5
LMArena Text: Russian14131195GLM 4.5
LMArena Text: Polish14221265GLM 4.5
LMArena Text: multi-turn14151206GLM 4.5
LMArena Text: longer queries14121190GLM 4.5
LMArena Text: writing and language14031219GLM 4.5
LMArena Text: entertainment and media14041184GLM 4.5
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 and GPT-4
BenchmarkGLM 4.5GPT-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 4.5$0.0017Fits in one request
GPT-4$0.060Fits in one request

GLM 4.5 costs less

Repository review

50K input + 3K output tokens

GLM 4.5$0.037Fits in one request
GPT-4$1.68Exceeds the context window

GLM 4.5 costs less

Agent loop

200K input + 10K output tokens

GLM 4.5$0.142Exceeds the context window
GPT-4$6.60Exceeds the context window

GLM 4.5 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 4.5 and GPT-4
SpecificationZ.ai GLM 4.5OpenAI GPT-4
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJuly 25, 2025May 28, 2023
Context window131K8K
Input $/Mtok$0.60$30.00
Output $/Mtok$2.20$60.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 better than GPT-4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5 for output tokens 27.3x cheaper ($2.20 vs $60.00 per million) and a larger context window (131K against 8K tokens).

Which is cheaper, GLM 4.5 or GPT-4?

GLM 4.5 costs $0.60 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 4.5 or GPT-4?

GLM 4.5, with 131K tokens against 8K.

How many benchmarks is the GLM 4.5 vs GPT-4 comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. GLM 4.5's coding index rests on 0 independent benchmarks and GPT-4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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