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R1 0528 vs GLM 4.5 Air

R1 0528 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 13.1 to 11.1, and GLM 4.5 Air costs 2.0x less per output token ($1.10 vs $2.18 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace R1 0528 Replace GLM 4.5 Air
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
39
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
8
vs boards won of 47 shared

R1 0528 or GLM 4.5 Air: which to pick

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

Pick R1 0528 for a larger context window (164K against 131K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
47
R1 0528 only
16
GLM 4.5 Air only
2
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
R1 0528 not benchmarked, GLM 4.5 Air not benchmarked.
Widest category
Agentic work, 9.9 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: creative writing: R1 0528 1405 against GLM 4.5 Air 1343, 10.4 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against GLM 4.5 Air $1.10 per million output tokens, 2.0x apart.
Context window
R1 0528 takes 164K tokens, GLM 4.5 Air 131K.

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
CategoryR1 0528BarsGLM 4.5 AirTies
Coding31
Intelligence10
Agentic work01
Reasoning50
Math32
Knowledge50
Web design34
General190
All shared boards398
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LiveCodeBench (Artificial Analysis run)77.0%68.4%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%20.5%GLM 4.5 Air
GSO-BenchNot measured2.9%Only GLM 4.5 Air measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271397R1 0528
LMArena Text: software and IT14351401R1 0528
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
AA Intelligence Index13.111.1R1 0528
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 R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
τ²-Bench Telecom36.5%46.5%GLM 4.5 Air
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
GPQA Diamond (Artificial Analysis run)81.3%73.3%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%7.0%R1 0528
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts14151379R1 0528
LMArena Text: expert13941370R1 0528
LMArena Text: hard prompts in English14221388R1 0528
Kagi LLM BenchmarkNot measured43.0%Only GLM 4.5 Air measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
AA Math Index76.080.7GLM 4.5 Air
AIME 2025 (Artificial Analysis run)76.0%80.7%GLM 4.5 Air
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001396R1 0528
LMArena Text: mathematical work14151396R1 0528
MathArena12.9%12.0%R1 0528
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
MMLU Pro (Artificial Analysis run)84.9%81.5%R1 0528
LMArena Text: science14301407R1 0528
LMArena Text: medicine and healthcare14451402R1 0528
LMArena Text: legal and government14191382R1 0528
LMArena Text: business and finance14021371R1 0528
PRBench Finance32.7%Not measuredOnly R1 0528 measured
PRBench Legal36.6%Not measuredOnly R1 0528 measured
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index34
Web design benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
Design Arena: websites11491146R1 0528
Design Arena: UI components11001121GLM 4.5 Air
Design Arena: game dev10971093R1 0528
Design Arena: data viz11821186GLM 4.5 Air
Design Arena: 3D11101122GLM 4.5 Air
Design Arena: all code categories11381137R1 0528
Design Arena: SVG10381070GLM 4.5 Air
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 R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 4.5 AirLeader
IFBench39.6%37.6%R1 0528
Long context reasoning (AA-LCR)55.7%46.7%R1 0528
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281384R1 0528
LMArena Text: instruction following13821354R1 0528
LMArena Text: creative writing14051343R1 0528
LMArena Text: English14371397R1 0528
LMArena Text: non-English14121366R1 0528
LMArena Text: Chinese14421426R1 0528
LMArena Text: German14041377R1 0528
LMArena Text: Japanese13911348R1 0528
LMArena Text: Korean13601308R1 0528
LMArena Text: French14171400R1 0528
LMArena Text: Spanish14111385R1 0528
LMArena Text: Russian14231373R1 0528
LMArena Text: Polish14281368R1 0528
LMArena Text: multi-turn14051371R1 0528
LMArena Text: longer queries13911366R1 0528
LMArena Text: writing and language14021354R1 0528
LMArena Text: entertainment and media14001339R1 0528
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and GLM 4.5 Air
BenchmarkR1 0528GLM 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

R1 0528$0.0016Fits 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

R1 0528$0.032Fits 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

R1 0528$0.122Exceeds 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 R1 0528 and GLM 4.5 Air
SpecificationDeepSeek R1 0528Z.ai GLM 4.5 Air
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025July 25, 2025
Context window164K131K
Input $/Mtok$0.50$0.20
Output $/Mtok$2.18$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than GLM 4.5 Air for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for a larger context window (164K against 131K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Which is cheaper, R1 0528 or GLM 4.5 Air?

R1 0528 costs $0.50 per million input tokens and $2.18 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, R1 0528 or GLM 4.5 Air?

R1 0528, with 164K tokens against 131K.

How many benchmarks is the R1 0528 vs GLM 4.5 Air comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. R1 0528'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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