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GLM 5.3 Flash vs Muse Spark 1.2

Updated October 21, 2026. 78 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 Flash Replace Muse Spark 1.2
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
34
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
44
vs boards won of 78 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 65.1 for Muse Spark 1.2.

Pick Muse Spark 1.2 when what matters is AA Coding Index or Vibe Code Bench (Vals AI), where it leads.

Model AGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
78
GLM 5.3 Flash only
24
Muse Spark 1.2 only
19
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 Flash 71.0 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
Widest category
Coding, 10.6 points apart on average over 18 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.3 Flash 30.8% against Muse Spark 1.2 79.1%, 48.3 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Muse Spark 1.2 $4.25 per million output tokens, 8.5x 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 5.3 FlashBarsMuse Spark 1.2Ties
Coding99
Intelligence11
Agentic work73
Reasoning54
Math21
Knowledge07
Web design36
General713
All shared boards3444
CodingLike-for-likeFour of these boards feed the Vibe Coding Index99
Coding benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
LiveBench coding80.6%78.2%GLM 5.3 Flash
LMArena WebDev16071534GLM 5.3 Flash
AA Coding Index71.572.2Muse Spark 1.2
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)92.0%86.6%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%6.1%GLM 5.3 Flash
Vibe Code Bench (Vals AI)30.8%79.1%Muse Spark 1.2
Code migration (Vals AI)20.5%29.9%Muse Spark 1.2
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.2
IOI (Vals AI)52.5%21.8%GLM 5.3 Flash
Terminal-Bench 2.1 (Vals AI)62.9%69.7%Muse Spark 1.2
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%53.0%Muse Spark 1.2
CyberBench (Vals AI)67.9%69.5%Muse Spark 1.2
SciCode51.6%57.4%Muse Spark 1.2
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%12.0%GLM 5.3 Flash
WeirdMLNot measured60.3%Only Muse Spark 1.2 measured
ALE-Bench303.6Not measuredOnly GLM 5.3 Flash measured
LMArena Text: coding15071505GLM 5.3 Flash
LMArena Text: software and IT15001505Muse Spark 1.2
LMArena WebDev: React16241526GLM 5.3 Flash
LMArena WebDev: HTML15771543GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
AA Intelligence Index41.839.6GLM 5.3 Flash
Epoch Capabilities Index153.1155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index73
Agentic work benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
AA Agentic Index50.943.2GLM 5.3 Flash
Design Arena: agents building web appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1182Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1228Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1135Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1198Only Muse Spark 1.2 measured
LiveBench research70.1%67.7%GLM 5.3 Flash
LiveBench browser84.0%36.0%GLM 5.3 Flash
LiveBench long agentic28.4%21.3%GLM 5.3 Flash
SREBench (Vals AI)0.8%0.0%GLM 5.3 Flash
Finance Agent (Vals AI)57.9%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)31.6%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)45.2%43.8%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%57.0%Muse Spark 1.2
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
APEX-Agents52.8%45.4%GLM 5.3 Flash
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%90.0%Muse Spark 1.2
MMMU Pro (Vals AI)86.0%86.1%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)91.2%90.4%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzles21.0%27.0%Muse Spark 1.2
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901489GLM 5.3 Flash
LMArena Text: expert15111475GLM 5.3 Flash
LMArena Text: hard prompts in English14881487GLM 5.3 Flash
LMArena Vision: diagrams13171317GLM 5.3 Flash
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
OTIS Mock AIME93.9%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%43.0%Muse Spark 1.2
LMArena Text: math15031484GLM 5.3 Flash
LMArena Text: mathematical work14971480GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
Knowledge benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
MMLU Pro86.1%88.3%Muse Spark 1.2
LegalBench (Vals AI)83.9%85.3%Muse Spark 1.2
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)75.6%80.4%Muse Spark 1.2
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)Not measured49.4%Only Muse Spark 1.2 measured
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science14841500Muse Spark 1.2
LMArena Text: medicine and healthcare14751496Muse Spark 1.2
LMArena Text: legal and government14731517Muse Spark 1.2
LMArena Text: business and finance14601484Muse Spark 1.2
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index36
Web design benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
Design Arena: websites12721313Muse Spark 1.2
Design Arena: UI components13161300GLM 5.3 Flash
Design Arena: game dev12791302Muse Spark 1.2
Design Arena: data viz12621334Muse Spark 1.2
Design Arena: 3D13161301GLM 5.3 Flash
Design Arena: all code categories12821313Muse Spark 1.2
Design Arena: SVG12841285Muse Spark 1.2
Design Arena: ASCII art12691284Muse Spark 1.2
LiveBench design77.2%67.1%GLM 5.3 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index713
General benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%76.5%Muse Spark 1.2
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)Not measured47.7%Only Muse Spark 1.2 measured
MedScribe (Vals AI)88.9%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)80.0%79.0%GLM 5.3 Flash
DTBenchNot measured94.7%Only Muse Spark 1.2 measured
LMCANot measured48.4%Only Muse Spark 1.2 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711482Muse Spark 1.2
LMArena Text: instruction following14781462GLM 5.3 Flash
LMArena Text: creative writing14411436GLM 5.3 Flash
LMArena Vision12941304Muse Spark 1.2
LMArena Text: English14741483Muse Spark 1.2
LMArena Text: non-English14621476Muse Spark 1.2
LMArena Text: Chinese15311509GLM 5.3 Flash
LMArena Text: German1462Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Japanese1444Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Korean14361462Muse Spark 1.2
LMArena Text: French14911495Muse Spark 1.2
LMArena Text: Spanish14751484Muse Spark 1.2
LMArena Text: Russian14651483Muse Spark 1.2
LMArena Text: Polish1450Not measuredOnly GLM 5.3 Flash measured
LMArena Text: multi-turn14691502Muse Spark 1.2
LMArena Text: longer queries14811473GLM 5.3 Flash
LMArena Text: writing and language14551453GLM 5.3 Flash
LMArena Text: entertainment and media14401443Muse Spark 1.2
LMArena Vision: English12951291GLM 5.3 Flash
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text12991313Muse Spark 1.2
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Muse Spark 1.2
BenchmarkGLM 5.3 FlashMuse Spark 1.2Leader
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 Flash$0.0004Fits in one request
Muse Spark 1.2$0.0034Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Muse Spark 1.2$0.075Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Muse Spark 1.2$0.292Fits in one request

GLM 5.3 Flash 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 Flash and Muse Spark 1.2
SpecificationZ.ai GLM 5.3 FlashMeta Muse Spark 1.2
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.50$4.25
Coding index71.065.1
Independent measurements behind it22
Cost per solved task$0.02$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Muse Spark 1.2 for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 65.1 for Muse Spark 1.2. Pick Muse Spark 1.2 when what matters is AA Coding Index or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, GLM 5.3 Flash or Muse Spark 1.2?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Muse Spark 1.2 $0.64.

Which has the bigger context window, GLM 5.3 Flash or Muse Spark 1.2?

Neither: both take 1.05M tokens.

How many benchmarks is the GLM 5.3 Flash vs Muse Spark 1.2 comparison based on?

78 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 2 independent benchmarks and Muse Spark 1.2'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-flash-vs-meta-muse-spark-1-2" title="GLM 5.3 Flash vs Muse Spark 1.2, 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-flash-vs-meta-muse-spark-1-2">LLMBenchmark.ai, GLM 5.3 Flash vs Muse Spark 1.2</a></p>