Enter opens the highlighted result. Esc closes.

GLM 5 vs Muse Spark 1.3

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5 Replace Muse Spark 1.3
GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
0
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
50
vs boards won of 50 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 59.7 for GLM 5.

Pick GLM 5 when output tokens cost 1.3x less.

Model AGLM 5Z.ai59.7/1002 independent benchmarks$0.63 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
50
GLM 5 only
25
Muse Spark 1.3 only
42
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 59.7 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Coding, 27.6 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5 23.4% against Muse Spark 1.3 82.9%, 59.5 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Muse Spark 1.3 $4.25 per million output tokens, 1.3x apart.
Context window
GLM 5 takes 205K 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 5BarsMuse Spark 1.3Ties
Coding07
Intelligence02
Agentic work03
Reasoning05
Math03
Knowledge04
Web design08
General018
All shared boards050
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev14351659Muse Spark 1.3
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)23.4%82.9%Muse Spark 1.3
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
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.61688.3Muse Spark 1.3
LMArena Text: coding14611510Muse Spark 1.3
LMArena Text: software and IT14601511Muse Spark 1.3
LMArena WebDev: React14241672Muse Spark 1.3
LMArena WebDev: HTML14501653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
AA Intelligence Index27.948.1Muse Spark 1.3
Epoch Capabilities Index145.8157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse 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 apps11231295Muse Spark 1.3
Design Arena: agents building mobile apps11361217Muse Spark 1.3
Design Arena: agents building Android apps1152Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games11441241Muse Spark 1.3
Design Arena: HTML slides1148Not measuredOnly GLM 5 measured
Design Arena: PowerPoint slidesNot measured1244Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1048Only 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 Telecom98.2%Not measuredOnly GLM 5 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)82.0%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)29.3%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts14521503Muse Spark 1.3
LMArena Text: expert14541519Muse Spark 1.3
LMArena Text: hard prompts in English14601500Muse 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 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%99.2%Muse Spark 1.3
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: math14401497Muse Spark 1.3
LMArena Text: mathematical work14511491Muse Spark 1.3
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
MMLU Pro86.0%Not measuredOnly GLM 5 measured
LegalBench (Vals AI)84.1%Not measuredOnly GLM 5 measured
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%Not measuredOnly GLM 5 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
LMArena Text: science14601507Muse Spark 1.3
LMArena Text: medicine and healthcare14551493Muse Spark 1.3
LMArena Text: legal and government14531499Muse Spark 1.3
LMArena Text: business and finance14301490Muse Spark 1.3
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
Design Arena: websites12471356Muse Spark 1.3
Design Arena: UI components12301352Muse Spark 1.3
Design Arena: game dev12341329Muse Spark 1.3
Design Arena: data viz12281343Muse Spark 1.3
Design Arena: 3D12291359Muse Spark 1.3
Design Arena: all code categories12461353Muse Spark 1.3
Design Arena: SVG11681300Muse Spark 1.3
Design Arena: ASCII art11461280Muse Spark 1.3
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 5 and Muse Spark 1.3
BenchmarkGLM 5Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461490Muse Spark 1.3
LMArena Text: instruction following14281479Muse Spark 1.3
LMArena Text: creative writing14381462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English14581495Muse Spark 1.3
LMArena Text: non-English14301481Muse Spark 1.3
LMArena Text: Chinese15111532Muse Spark 1.3
LMArena Text: German14471513Muse Spark 1.3
LMArena Text: Japanese14161470Muse Spark 1.3
LMArena Text: Korean14231490Muse Spark 1.3
LMArena Text: French14561511Muse Spark 1.3
LMArena Text: Spanish14541496Muse Spark 1.3
LMArena Text: Russian14361491Muse Spark 1.3
LMArena Text: Polish14341490Muse Spark 1.3
LMArena Text: multi-turn14561487Muse Spark 1.3
LMArena Text: longer queries14461488Muse Spark 1.3
LMArena Text: writing and language14371470Muse Spark 1.3
LMArena Text: entertainment and media14261457Muse 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 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and Muse Spark 1.3
BenchmarkGLM 5Muse 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$0.0026Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Muse Spark 1.3$0.075Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

GLM 5 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 and Muse Spark 1.3
SpecificationZ.ai GLM 5Meta Muse Spark 1.3
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedFebruary 11, 2026September 2, 2026
Context window205K1.05M
Input $/Mtok$1.00$1.25
Output $/Mtok$3.20$4.25
Coding index59.779.7
Independent measurements behind it22
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 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 59.7 for GLM 5. Pick GLM 5 when output tokens cost 1.3x less.

Which is cheaper, GLM 5 or Muse Spark 1.3?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5 vs Muse Spark 1.3 comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. GLM 5'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.

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-vs-meta-muse-spark-1-3" title="GLM 5 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-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GLM 5 vs Muse Spark 1.3</a></p>