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GLM 4.5 Air vs Muse Spark 1.3

Muse Spark 1.3 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 48.1 to 11.1, and GLM 4.5 Air costs 3.9x less per output token ($1.10 vs $4.25 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
40
vs boards won of 40 shared

GLM 4.5 Air or Muse Spark 1.3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.

Pick GLM 4.5 Air for output tokens 3.9x cheaper ($1.10 vs $4.25 per million).

Shared results
40
GLM 4.5 Air only
9
Muse Spark 1.3 only
56
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
GLM 4.5 Air not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Intelligence, 37.0 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): GLM 4.5 Air 7.0% against Muse Spark 1.3 48.7%, 41.7 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against Muse Spark 1.3 $4.25 per million output tokens, 3.9x apart.
Context window
GLM 4.5 Air takes 131K tokens, Muse Spark 1.3 1.05M.

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 4.5 AirBarsMuse Spark 1.3Ties
Coding02
Intelligence01
Reasoning05
Math03
Knowledge04
Web design07
General018
All shared boards040
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)68.4%Not measuredOnly GLM 4.5 Air measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)20.5%Not measuredOnly GLM 4.5 Air measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding13971510Muse Spark 1.3
LMArena Text: software and IT14011511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
AA Intelligence Index11.148.1Muse Spark 1.3
Epoch Capabilities IndexNot measured157.2Only Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1075Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom46.5%Not measuredOnly GLM 4.5 Air measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)73.3%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)7.0%48.7%Muse Spark 1.3
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts13791503Muse Spark 1.3
LMArena Text: expert13701519Muse Spark 1.3
LMArena Text: hard prompts in English13881500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Kagi LLM Benchmark43.0%Not measuredOnly GLM 4.5 Air measured
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
AA Math Index80.7Not measuredOnly GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)80.7%Not measuredOnly GLM 4.5 Air measured
OTIS Mock AIMENot measured99.2%Only Muse Spark 1.3 measured
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math13961497Muse Spark 1.3
LMArena Text: mathematical work13961491Muse Spark 1.3
MathArena12.0%43.0%Muse Spark 1.3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
LMArena Text: science14071507Muse Spark 1.3
LMArena Text: medicine and healthcare14021493Muse Spark 1.3
LMArena Text: legal and government13821499Muse Spark 1.3
LMArena Text: business and finance13711490Muse Spark 1.3
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench LegalNot measured61.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
Design Arena: websites11461356Muse Spark 1.3
Design Arena: UI components11211350Muse Spark 1.3
Design Arena: game dev10931328Muse Spark 1.3
Design Arena: data viz11861344Muse Spark 1.3
Design Arena: 3D11221358Muse Spark 1.3
Design Arena: all code categories11371352Muse Spark 1.3
Design Arena: SVG10701301Muse Spark 1.3
Design Arena: ASCII artNot measured1283Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench37.6%Not measuredOnly GLM 4.5 Air measured
Long context reasoning (AA-LCR)46.7%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
LMArena Text13841490Muse Spark 1.3
LMArena Text: instruction following13541479Muse Spark 1.3
LMArena Text: creative writing13431462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English13971495Muse Spark 1.3
LMArena Text: non-English13661481Muse Spark 1.3
LMArena Text: Chinese14261532Muse Spark 1.3
LMArena Text: German13771513Muse Spark 1.3
LMArena Text: Japanese13481470Muse Spark 1.3
LMArena Text: Korean13081490Muse Spark 1.3
LMArena Text: French14001511Muse Spark 1.3
LMArena Text: Spanish13851496Muse Spark 1.3
LMArena Text: Russian13731491Muse Spark 1.3
LMArena Text: Polish13681490Muse Spark 1.3
LMArena Text: multi-turn13711487Muse Spark 1.3
LMArena Text: longer queries13661488Muse Spark 1.3
LMArena Text: writing and language13541470Muse Spark 1.3
LMArena Text: entertainment and media13391457Muse Spark 1.3
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and Muse Spark 1.3
BenchmarkGLM 4.5 AirMuse Spark 1.3Leader
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 Air$0.0008Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GLM 4.5 Air costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
Muse Spark 1.3$0.075Fits in one request

GLM 4.5 Air costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

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 Air and Muse Spark 1.3
SpecificationZ.ai GLM 4.5 AirMeta Muse Spark 1.3
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedJuly 25, 2025September 2, 2026
Context window131K1.05M
Input $/Mtok$0.20$1.25
Output $/Mtok$1.10$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than Muse Spark 1.3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 3.9x cheaper ($1.10 vs $4.25 per million).

Which is cheaper, GLM 4.5 Air or Muse Spark 1.3?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.5 Air or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs Muse Spark 1.3 comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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