Enter opens the highlighted result. Esc closes.

Claude Opus 4.1 vs GLM 4.5 Air

Claude Opus 4.1 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 22.8 to 11.1, and GLM 4.5 Air costs 68.2x less per output token ($1.10 vs $75.00 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GLM 4.5 Air
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
35
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
1
vs boards won of 36 shared

Claude Opus 4.1 or GLM 4.5 Air: which to pick

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

Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens) and work measured by Design Arena: data viz, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
36
Claude Opus 4.1 only
37
GLM 4.5 Air only
12
Like-for-like categories
7 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
Claude Opus 4.1 not benchmarked, GLM 4.5 Air not benchmarked.
Widest category
Intelligence, 11.7 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: longer queries: Claude Opus 4.1 1455 against GLM 4.5 Air 1366, 14.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GLM 4.5 Air $1.10 per million output tokens, 68.2x apart.
Context window
Claude Opus 4.1 takes 200K 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
CategoryClaude Opus 4.1BarsGLM 4.5 AirTies
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
Web design61
General170
All shared boards351
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured68.4%Only GLM 4.5 Air measured
Terminal-Bench Hard (Artificial Analysis run)Not measured20.5%Only GLM 4.5 Air measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
GSO-BenchNot measured2.9%Only GLM 4.5 Air measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791397Claude Opus 4.1
LMArena Text: software and IT14561401Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
AA Intelligence Index22.811.1Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
τ²-Bench TelecomNot measured46.5%Only GLM 4.5 Air measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured73.3%Only GLM 4.5 Air measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.0%Only GLM 4.5 Air measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421379Claude Opus 4.1
LMArena Text: expert14381370Claude Opus 4.1
LMArena Text: hard prompts in English14511388Claude Opus 4.1
Kagi LLM BenchmarkNot measured43.0%Only GLM 4.5 Air measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
AA Math IndexNot measured80.7Only GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)Not measured80.7%Only GLM 4.5 Air measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311396Claude Opus 4.1
LMArena Text: mathematical work14341396Claude Opus 4.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured81.5%Only GLM 4.5 Air measured
LMArena Text: science14221407Claude Opus 4.1
LMArena Text: medicine and healthcare14161402Claude Opus 4.1
LMArena Text: legal and government14211382Claude Opus 4.1
LMArena Text: business and finance14061371Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
Design Arena: websites11761146Claude Opus 4.1
Design Arena: UI components11621120Claude Opus 4.1
Design Arena: game dev11711094Claude Opus 4.1
Design Arena: data viz11661186GLM 4.5 Air
Design Arena: 3D11521122Claude Opus 4.1
Design Arena: all code categories11701137Claude Opus 4.1
Design Arena: SVG11521071Claude Opus 4.1
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 4.5 AirLeader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured37.6%Only GLM 4.5 Air measured
Long context reasoning (AA-LCR)Not measured46.7%Only GLM 4.5 Air measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191384Claude Opus 4.1
LMArena Text: instruction following14351354Claude Opus 4.1
LMArena Text: creative writing14121343Claude Opus 4.1
LMArena Text: English14331397Claude Opus 4.1
LMArena Text: non-English14051366Claude Opus 4.1
LMArena Text: Chinese14271426Claude Opus 4.1
LMArena Text: German14131377Claude Opus 4.1
LMArena Text: Japanese13771348Claude Opus 4.1
LMArena Text: Korean13811308Claude Opus 4.1
LMArena Text: French14331400Claude Opus 4.1
LMArena Text: Spanish14481385Claude Opus 4.1
LMArena Text: Russian14221373Claude Opus 4.1
LMArena Text: Polish14131368Claude Opus 4.1
LMArena Text: multi-turn14441371Claude Opus 4.1
LMArena Text: longer queries14551366Claude Opus 4.1
LMArena Text: writing and language14181354Claude Opus 4.1
LMArena Text: entertainment and media13981339Claude Opus 4.1
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 Claude Opus 4.1 and GLM 4.5 Air
BenchmarkClaude Opus 4.1GLM 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

Claude Opus 4.1$0.052Fits 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

Claude Opus 4.1$0.975Fits 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

Claude Opus 4.1$3.75Exceeds 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 Claude Opus 4.1 and GLM 4.5 Air
SpecificationAnthropic Claude Opus 4.1Z.ai GLM 4.5 Air
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025July 25, 2025
Context window200K131K
Input $/Mtok$15.00$0.20
Output $/Mtok$75.00$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than GLM 4.5 Air for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens) and work measured by Design Arena: data viz, where it leads.

Which is cheaper, Claude Opus 4.1 or GLM 4.5 Air?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 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, Claude Opus 4.1 or GLM 4.5 Air?

Claude Opus 4.1, with 200K tokens against 131K.

How many benchmarks is the Claude Opus 4.1 vs GLM 4.5 Air comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and GLM 4.5 Air's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next