Enter opens the highlighted result. Esc closes.

GLM 5.3 Flash vs Muse Spark 1.3

GLM 5.3 Flash leads Muse Spark 1.3 on coding, 57.7 to 57.4 on the Vibe Coding Index, and GLM 5.3 Flash costs 8.5x less per output token ($0.50 vs $4.25 per million). Updated October 22, 2026; 84 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace Muse Spark 1.3
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
9
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
75
vs boards won of 84 shared

GLM 5.3 Flash or Muse Spark 1.3: which to pick

GLM 5.3 Flash and Muse Spark 1.3 are level for coding, 57.7 against 57.4 on the Vibe Coding Index, so price and context decide.

Pick Muse Spark 1.3 for work measured by LiveBench coding or LMArena WebDev, where it leads. Pick GLM 5.3 Flash for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and work measured by Terminal-Bench 4 (Vals AI) or IOI (Vals AI), where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
84
GLM 5.3 Flash only
18
Muse Spark 1.3 only
12
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
GLM 5.3 Flash 57.7 from 6 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Math, 15.3 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.3 Flash 30.8% against Muse Spark 1.3 82.9%, 52.1 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Muse Spark 1.3 $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 1.3Ties
Coding216
Intelligence02
Agentic work37
Reasoning19
Math24
Knowledge04
Web design18
General025
All shared boards975
CodingLike-for-likeSix of these boards feed the Vibe Coding Index216
Coding benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
LiveBench coding80.6%90.2%Muse Spark 1.3
LMArena WebDev16071659Muse Spark 1.3
AA Coding Index71.575.8Muse Spark 1.3
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)92.0%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)37.4%10.6%GLM 5.3 Flash
Vibe Code Bench (Vals AI)30.8%82.9%Muse Spark 1.3
Code migration (Vals AI)20.5%27.6%Muse Spark 1.3
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.3
IOI (Vals AI)52.5%43.9%GLM 5.3 Flash
Terminal-Bench 2.1 (Vals AI)62.9%72.3%Muse Spark 1.3
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%69.4%Muse Spark 1.3
SciCode51.6%59.7%Muse Spark 1.3
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%25.8%Muse Spark 1.3
ALE-Bench303.61688.3Muse Spark 1.3
LMArena Text: coding15071510Muse Spark 1.3
LMArena Text: software and IT15001511Muse Spark 1.3
LMArena WebDev: React16241672Muse Spark 1.3
LMArena WebDev: HTML15771653Muse Spark 1.3
LMArena WebDev: from an image15781640Muse Spark 1.3
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
AA Intelligence Index41.848.1Muse Spark 1.3
Epoch Capabilities Index153.1157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index37
Agentic work benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
AA Agentic Index50.955.5Muse 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 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 research70.1%68.6%GLM 5.3 Flash
LiveBench browser84.0%80.0%GLM 5.3 Flash
LiveBench long agentic28.4%40.4%Muse Spark 1.3
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)31.6%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)45.2%40.9%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%62.7%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)2.9%4.3%Muse Spark 1.3
APEX-Agents52.8%58.6%Muse Spark 1.3
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
Reasoning benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%89.7%Muse Spark 1.3
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)39.9%48.7%Muse Spark 1.3
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
Chess puzzles21.0%37.0%Muse Spark 1.3
Mystery game puzzles8.0%25.0%Muse Spark 1.3
LMArena Text: hard prompts14901503Muse Spark 1.3
LMArena Text: expert15111519Muse Spark 1.3
LMArena Text: hard prompts in English14881500Muse Spark 1.3
LMArena Vision: diagrams13171330Muse Spark 1.3
LMArena Vision: homework13181296GLM 5.3 Flash
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
OTIS Mock AIME93.9%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 355.8%74.4%Muse Spark 1.3
FrontierMath, tier 417.1%46.3%Muse Spark 1.3
ProofBench21.0%58.0%Muse Spark 1.3
LMArena Text: math15031497GLM 5.3 Flash
LMArena Text: mathematical work14971491GLM 5.3 Flash
MathArenaNot measured43.0%Only Muse Spark 1.3 measured
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 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
MMLU Pro86.1%Not measuredOnly GLM 5.3 Flash measured
LegalBench (Vals AI)83.9%Not measuredOnly GLM 5.3 Flash measured
TaxEval (Vals AI)75.6%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: science14841507Muse Spark 1.3
LMArena Text: medicine and healthcare14751493Muse Spark 1.3
LMArena Text: legal and government14731499Muse Spark 1.3
LMArena Text: business and finance14601490Muse 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 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index18
Web design benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
Design Arena: websites12711356Muse Spark 1.3
Design Arena: UI components13141350Muse Spark 1.3
Design Arena: game dev12771328Muse Spark 1.3
Design Arena: data viz12621344Muse Spark 1.3
Design Arena: 3D13151358Muse Spark 1.3
Design Arena: all code categories12811352Muse Spark 1.3
Design Arena: SVG12841301Muse Spark 1.3
Design Arena: ASCII art12671283Muse Spark 1.3
LiveBench design77.2%74.8%GLM 5.3 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index025
General benchmarks for GLM 5.3 Flash and Muse Spark 1.3
BenchmarkGLM 5.3 FlashMuse Spark 1.3Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%79.6%Muse Spark 1.3
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
Long context reasoning (AA-LCR)80.0%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711490Muse Spark 1.3
LMArena Text: instruction following14781479Muse Spark 1.3
LMArena Text: creative writing14411462Muse Spark 1.3
LMArena Vision12941308Muse Spark 1.3
LMArena Text: English14741495Muse Spark 1.3
LMArena Text: non-English14621481Muse Spark 1.3
LMArena Text: Chinese15311532Muse Spark 1.3
LMArena Text: German14621513Muse Spark 1.3
LMArena Text: Japanese14441470Muse Spark 1.3
LMArena Text: Korean14361490Muse Spark 1.3
LMArena Text: French14911511Muse Spark 1.3
LMArena Text: Spanish14751496Muse Spark 1.3
LMArena Text: Russian14651491Muse Spark 1.3
LMArena Text: Polish14501490Muse Spark 1.3
LMArena Text: multi-turn14691487Muse Spark 1.3
LMArena Text: longer queries14811488Muse Spark 1.3
LMArena Text: writing and language14551470Muse Spark 1.3
LMArena Text: entertainment and media14401457Muse Spark 1.3
LMArena Vision: English12951298Muse Spark 1.3
LMArena Vision: Chinese13631384Muse Spark 1.3
LMArena Vision: reading text12991319Muse Spark 1.3
LMArena Vision: humor12791293Muse Spark 1.3
LMArena Vision: creative writing12701296Muse Spark 1.3
Neither model has a result on the other 18 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 1.3
BenchmarkGLM 5.3 FlashMuse 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 Flash$0.0004Fits in one request
Muse Spark 1.3$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 1.3$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 1.3$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 1.3
SpecificationZ.ai GLM 5.3 FlashMeta Muse Spark 1.3
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.50$4.25
Coding index57.757.4
Independent measurements behind it64
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Muse Spark 1.3 for coding?

GLM 5.3 Flash and Muse Spark 1.3 are level for coding, 57.7 against 57.4 on the Vibe Coding Index, so price and context decide. Pick Muse Spark 1.3 for work measured by LiveBench coding or LMArena WebDev, where it leads. Pick GLM 5.3 Flash for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and work measured by Terminal-Bench 4 (Vals AI) or IOI (Vals AI), where it leads.

Which is cheaper, GLM 5.3 Flash or Muse Spark 1.3?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GLM 5.3 Flash only.

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

Neither: both take 1.05M tokens.

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

84 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/glm-5-3-flash-vs-meta-muse-spark-1-3" title="GLM 5.3 Flash 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-flash-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GLM 5.3 Flash vs Muse Spark 1.3</a></p>