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GLM 4.5 vs GLM 4.5 Air

GLM 4.5 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 12.8 to 11.1, and GLM 4.5 Air costs 2.0x less per output token ($1.10 vs $2.20 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Replace GLM 4.5 Replace GLM 4.5 Air
GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
43
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
4
vs boards won of 47 shared

GLM 4.5 or GLM 4.5 Air: which to pick

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

Pick GLM 4.5 for work measured by τ²-Bench Telecom or AA Math Index, where it leads.

Model AGLM 4.5Z.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
47
GLM 4.5 only
14
GLM 4.5 Air only
1
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 4.5 not benchmarked, GLM 4.5 Air not benchmarked.
Widest category
Reasoning, 8.6 points apart on average over 6 shared benchmarks.
Widest single gap
Kagi LLM Benchmark: GLM 4.5 57.9% against GLM 4.5 Air 43.0%, 14.9 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against GLM 4.5 Air $1.10 per million output tokens, 2.0x apart.
Context window
Both take 131K tokens.

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 4.5BarsGLM 4.5 AirTies
Coding40
Intelligence10
Agentic work01
Reasoning60
Math22
Knowledge50
Web design61
General190
All shared boards434
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
SWE-bench Verified64.2%Not measuredOnly GLM 4.5 measured
LiveCodeBench (Vals AI)67.5%Not measuredOnly GLM 4.5 measured
LiveCodeBench (Artificial Analysis run)73.8%68.4%GLM 4.5
Terminal-Bench Hard (Artificial Analysis run)22.0%20.5%GLM 4.5
GSO-BenchNot measured2.9%Only GLM 4.5 Air measured
WeirdML40.6%Not measuredOnly GLM 4.5 measured
ALE-Bench344.8Not measuredOnly GLM 4.5 measured
LMArena Text: coding14341397GLM 4.5
LMArena Text: software and IT14401401GLM 4.5
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
AA Intelligence Index12.811.1GLM 4.5
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
τ²-Bench Telecom43.0%46.5%GLM 4.5 Air
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
GPQA Diamond72.2%Not measuredOnly GLM 4.5 measured
GPQA Diamond (Artificial Analysis run)78.2%73.3%GLM 4.5
Humanity's Last Exam (Artificial Analysis run)13.0%7.0%GLM 4.5
LMArena Text: hard prompts14291379GLM 4.5
LMArena Text: expert14331370GLM 4.5
LMArena Text: hard prompts in English14291388GLM 4.5
Kagi LLM Benchmark57.9%43.0%GLM 4.5
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
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 Index73.780.7GLM 4.5 Air
AIME 2025 (Artificial Analysis run)73.7%80.7%GLM 4.5 Air
LMArena Text: math14271396GLM 4.5
LMArena Text: mathematical work14301396GLM 4.5
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 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
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%81.5%GLM 4.5
LMArena Text: science14441407GLM 4.5
LMArena Text: medicine and healthcare14551402GLM 4.5
LMArena Text: legal and government14381382GLM 4.5
LMArena Text: business and finance14201371GLM 4.5
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
Design Arena: websites11701146GLM 4.5
Design Arena: UI components11441123GLM 4.5
Design Arena: game dev11451094GLM 4.5
Design Arena: data viz11591186GLM 4.5 Air
Design Arena: 3D11701123GLM 4.5
Design Arena: all code categories11651137GLM 4.5
Design Arena: SVG10961071GLM 4.5
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GLM 4.5 and GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
IFBench44.1%37.6%GLM 4.5
Long context reasoning (AA-LCR)52.7%46.7%GLM 4.5
Creative writing (Lech Mazur)73.4%Not measuredOnly GLM 4.5 measured
LMArena Text14301384GLM 4.5
LMArena Text: instruction following14041354GLM 4.5
LMArena Text: creative writing13951343GLM 4.5
LMArena Text: English14371397GLM 4.5
LMArena Text: non-English14171366GLM 4.5
LMArena Text: Chinese14651426GLM 4.5
LMArena Text: German14071377GLM 4.5
LMArena Text: Japanese14151348GLM 4.5
LMArena Text: Korean13801308GLM 4.5
LMArena Text: French14181400GLM 4.5
LMArena Text: Spanish14541385GLM 4.5
LMArena Text: Russian14131373GLM 4.5
LMArena Text: Polish14221368GLM 4.5
LMArena Text: multi-turn14151371GLM 4.5
LMArena Text: longer queries14121366GLM 4.5
LMArena Text: writing and language14031354GLM 4.5
LMArena Text: entertainment and media14041339GLM 4.5
Neither model has a result on the other 26 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 GLM 4.5 Air
BenchmarkGLM 4.5GLM 4.5 AirLeader
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
GLM 4.5 Air$0.0008Fits in one request

GLM 4.5 Air costs less

Repository review

50K input + 3K output tokens

GLM 4.5$0.037Fits in one request
GLM 4.5 Air$0.013Fits in one request

GLM 4.5 Air costs less

Agent loop

200K input + 10K output tokens

GLM 4.5$0.142Exceeds the context window
GLM 4.5 Air$0.051Exceeds the context window

GLM 4.5 Air 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 GLM 4.5 Air
SpecificationZ.ai GLM 4.5Z.ai GLM 4.5 Air
MakerZ.aiZ.ai
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025July 25, 2025
Context window131K131K
Input $/Mtok$0.60$0.20
Output $/Mtok$2.20$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 better than GLM 4.5 Air for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5 for work measured by τ²-Bench Telecom or AA Math Index, where it leads.

Which is cheaper, GLM 4.5 or GLM 4.5 Air?

GLM 4.5 costs $0.60 per million input tokens and $2.20 per million output tokens; GLM 4.5 Air costs $0.20 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.5 or GLM 4.5 Air?

Neither: both take 131K tokens.

How many benchmarks is the GLM 4.5 vs GLM 4.5 Air comparison based on?

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

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