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GLM 5.3 vs Muse Spark 1.3

Updated October 21, 2026. 79 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.3 Replace Muse Spark 1.3
GLM 5.3Z.ai
Coding
73.1
Overall
44.8
Output $/M
$1.40
17
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
61
vs boards won of 79 shared, 1 tied

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 73.1 for GLM 5.3.

Pick GLM 5.3 when output tokens cost 3.0x less, or when what matters is Terminal-Bench 4 (Vals AI) or Code migration (Vals AI), where it leads.

Model AGLM 5.3Z.ai73.1/1002 independent benchmarks$0.36 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
79
GLM 5.3 only
21
Muse Spark 1.3 only
13
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 5.3 73.1 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Agentic work, 10.0 points apart on average over 12 shared benchmarks.
Widest single gap
LiveBench browser: GLM 5.3 0.0% against Muse Spark 1.3 80.0%, 80.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $1.40 against Muse Spark 1.3 $4.25 per million output tokens, 3.0x apart.
Context window
Both take 1.05M 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 5.3BarsMuse Spark 1.3Ties
Coding611
Intelligence02
Agentic work57
Reasoning161 tie
Math15
Knowledge04
Web design18
General318
All shared boards17611 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index611
Coding benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
LiveBench coding82.8%90.2%Muse Spark 1.3
LMArena WebDev16211659Muse Spark 1.3
AA Coding Index74.875.8Muse Spark 1.3
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 4 (Vals AI)38.9%10.6%GLM 5.3
Vibe Code Bench (Vals AI)78.1%82.9%Muse Spark 1.3
Code migration (Vals AI)44.2%27.6%GLM 5.3
ProgramBench (Vals AI)1.5%0.5%GLM 5.3
IOI (Vals AI)68.4%43.9%GLM 5.3
Terminal-Bench 2.1 (Vals AI)71.5%72.3%Muse Spark 1.3
Vibe Code Bench 1-100 (Vals AI)20.0%Not measuredOnly GLM 5.3 measured
SkillsBench (Vals AI)47.5%Not measuredOnly GLM 5.3 measured
CyberBench (Vals AI)72.1%69.4%GLM 5.3
SciCode59.0%59.7%Muse Spark 1.3
FrontierCode40.1%Not measuredOnly GLM 5.3 measured
FrontierSWE30.2%25.8%GLM 5.3
WeirdML75.4%Not measuredOnly GLM 5.3 measured
ALE-Bench1317.41688.3Muse Spark 1.3
LMArena Text: coding14971510Muse Spark 1.3
LMArena Text: software and IT14931511Muse Spark 1.3
LMArena WebDev: React16411672Muse Spark 1.3
LMArena WebDev: HTML15951653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
AA Intelligence Index44.848.1Muse Spark 1.3
Epoch Capabilities Index156.0157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index57
Agentic work benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
AA Agentic Index53.155.5Muse Spark 1.3
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 apps11941217Muse Spark 1.3
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: HTML slides1189Not measuredOnly GLM 5.3 measured
Design Arena: PowerPoint slides12551244GLM 5.3
Design Arena: spreadsheetsNot measured1048Only Muse Spark 1.3 measured
LiveBench research73.2%68.6%GLM 5.3
LiveBench browser0.0%80.0%Muse Spark 1.3
LiveBench long agentic35.9%40.4%Muse Spark 1.3
SREBench (Vals AI)9.2%Not measuredOnly GLM 5.3 measured
Finance Agent (Vals AI)55.8%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)39.7%36.0%GLM 5.3
Legal Research Bench (Vals AI)49.0%40.9%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)14.6%Not measuredOnly GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)56.3%62.7%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)5.7%4.3%GLM 5.3
APEX-Agents56.6%58.6%Muse Spark 1.3
Vending-Bench 2$8,164Not measuredOnly GLM 5.3 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
Reasoning benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
GPQA Diamond88.1%Not measuredOnly GLM 5.3 measured
LiveBench reasoning85.8%89.7%Muse Spark 1.3
MysteryMechanism (Vals AI)23.0%Not measuredOnly GLM 5.3 measured
GPQA Diamond (Artificial Analysis run)91.7%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)42.3%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)90.9%Not measuredOnly GLM 5.3 measured
Chess puzzles37.0%37.0%Tie
Mystery game puzzles33.0%25.0%GLM 5.3
LMArena Text: hard prompts14901503Muse Spark 1.3
LMArena Text: expert15141519Muse Spark 1.3
LMArena Text: hard prompts in English14961500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
OTIS Mock AIME91.1%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 368.8%74.4%Muse Spark 1.3
FrontierMath, tier 429.3%46.3%Muse Spark 1.3
ProofBench49.0%58.0%Muse Spark 1.3
LMArena Text: math14951497Muse Spark 1.3
LMArena Text: mathematical work14971491GLM 5.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
MMLU Pro86.8%Not measuredOnly GLM 5.3 measured
LegalBench (Vals AI)84.8%Not measuredOnly GLM 5.3 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 5.3 measured
MedCode (Vals AI)42.9%Not measuredOnly GLM 5.3 measured
SimpleQA Verified41.0%Not measuredOnly GLM 5.3 measured
LMArena Text: science14981507Muse Spark 1.3
LMArena Text: medicine and healthcare14811493Muse Spark 1.3
LMArena Text: legal and government14731499Muse Spark 1.3
LMArena Text: business and finance14591490Muse Spark 1.3
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index18
Web design benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
Design Arena: websites12951356Muse Spark 1.3
Design Arena: UI components13141352Muse Spark 1.3
Design Arena: game dev13111329Muse Spark 1.3
Design Arena: data viz12601343Muse Spark 1.3
Design Arena: 3D13321359Muse Spark 1.3
Design Arena: all code categories13041353Muse Spark 1.3
Design Arena: SVG12921300Muse Spark 1.3
Design Arena: ASCII art12131280Muse Spark 1.3
LiveBench design77.3%74.8%GLM 5.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index318
General benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse Spark 1.3Leader
Vals Index59.7%Not measuredOnly GLM 5.3 measured
LiveBench data analysis70.2%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)68.5%Not measuredOnly GLM 5.3 measured
MedScribe (Vals AI)88.8%Not measuredOnly GLM 5.3 measured
Long context reasoning (AA-LCR)79.7%83.0%Muse Spark 1.3
DTBench87.7%96.5%Muse Spark 1.3
LMCA55.5%53.9%GLM 5.3
LMArena Text14741490Muse Spark 1.3
LMArena Text: instruction following14791479GLM 5.3
LMArena Text: creative writing14581462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English14821495Muse Spark 1.3
LMArena Text: non-English14591481Muse Spark 1.3
LMArena Text: Chinese15321532GLM 5.3
LMArena Text: German14881513Muse Spark 1.3
LMArena Text: Japanese14601470Muse Spark 1.3
LMArena Text: Korean14601490Muse Spark 1.3
LMArena Text: French15031511Muse Spark 1.3
LMArena Text: Spanish14621496Muse Spark 1.3
LMArena Text: Russian14691491Muse Spark 1.3
LMArena Text: Polish14661490Muse Spark 1.3
LMArena Text: multi-turn14721487Muse Spark 1.3
LMArena Text: longer queries14831488Muse Spark 1.3
LMArena Text: writing and language14691470Muse Spark 1.3
LMArena Text: entertainment and media14471457Muse 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 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 and Muse Spark 1.3
BenchmarkGLM 5.3Muse 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 5.3$0.0008Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.0081Fits in one request
Muse Spark 1.3$0.075Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.030Fits in one request
Muse Spark 1.3$0.292Fits in one request

GLM 5.3 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 5.3 and Muse Spark 1.3
SpecificationZ.ai GLM 5.3Meta Muse Spark 1.3
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedAugust 18, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.079$1.25
Output $/Mtok$1.40$4.25
Coding index73.179.7
Independent measurements behind it22
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 73.1 for GLM 5.3. Pick GLM 5.3 when output tokens cost 3.0x less, or when what matters is Terminal-Bench 4 (Vals AI) or Code migration (Vals AI), where it leads.

Which is cheaper, GLM 5.3 or Muse Spark 1.3?

GLM 5.3 costs $0.079 per million input tokens and $1.40 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, GLM 5.3 or Muse Spark 1.3?

Neither: both take 1.05M tokens.

How many benchmarks is the GLM 5.3 vs Muse Spark 1.3 comparison based on?

79 benchmarks have a result for both models as of October 21, 2026. GLM 5.3's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/glm-5-3-vs-meta-muse-spark-1-3" title="GLM 5.3 vs Muse Spark 1.3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-3-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GLM 5.3 vs Muse Spark 1.3</a></p>