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GLM 5.1 vs Muse Spark 1.3

Muse Spark 1.3 leads GLM 5.1 on coding, 57.4 to 49.2 on the Vibe Coding Index, at about the same output price ($4.25 vs $4.40 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace GLM 5.1 Replace Muse Spark 1.3
GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
2
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
63
vs boards won of 65 shared

GLM 5.1 or Muse Spark 1.3: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 49.2 for GLM 5.1.

Pick GLM 5.1 for work measured by Design Arena: spreadsheets or Design Arena: data viz, where it leads.

Model AGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
65
GLM 5.1 only
24
Muse Spark 1.3 only
27
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 5.1 49.2 from 3 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Agentic work, 17.7 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.1 31.5% against Muse Spark 1.3 82.9%, 51.4 points apart on a 0 to 100 scale.
Output price
GLM 5.1 $4.40 against Muse Spark 1.3 $4.25 per million output tokens, 1.0x apart.
Context window
GLM 5.1 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 5.1BarsMuse Spark 1.3Ties
Coding012
Intelligence02
Agentic work19
Reasoning06
Math05
Knowledge04
Web design17
General018
All shared boards263
CodingLike-for-likeSix of these boards feed the Vibe Coding Index012
Coding benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev15081659Muse Spark 1.3
AA Coding Index55.875.8Muse Spark 1.3
LiveCodeBench (Vals AI)81.4%Not measuredOnly GLM 5.1 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly GLM 5.1 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)31.5%82.9%Muse Spark 1.3
Code migration (Vals AI)25.8%27.6%Muse Spark 1.3
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.3
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)56.9%72.3%Muse Spark 1.3
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCode44.8%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5.1 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML57.1%Not measuredOnly GLM 5.1 measured
ALE-Bench887.11688.3Muse Spark 1.3
LMArena Text: coding14851510Muse Spark 1.3
LMArena Text: software and IT14841511Muse Spark 1.3
LMArena WebDev: React15051672Muse Spark 1.3
LMArena WebDev: HTML15081653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
AA Intelligence Index26.148.1Muse Spark 1.3
Epoch Capabilities Index149.8157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index19
Agentic work benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
AA Agentic Index23.955.5Muse Spark 1.3
Design Arena: agents building web apps11751297Muse Spark 1.3
Design Arena: agents building full-stack apps11671295Muse Spark 1.3
Design Arena: agents building mobile apps11621218Muse Spark 1.3
Design Arena: agents building Android apps1182Not measuredOnly GLM 5.1 measured
Design Arena: agents building Godot games10531241Muse Spark 1.3
Design Arena: agents building games1164Not measuredOnly GLM 5.1 measured
Design Arena: HTML slides1120Not measuredOnly GLM 5.1 measured
Design Arena: PowerPoint slides11631219Muse Spark 1.3
Design Arena: spreadsheets13151062GLM 5.1
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)44.8%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)27.9%40.9%Muse Spark 1.3
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 Telecom97.7%Not measuredOnly GLM 5.1 measured
APEX-Agents40.9%58.6%Muse Spark 1.3
Vending-Bench 2$5,634Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
GPQA Diamond84.5%Not measuredOnly GLM 5.1 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)86.8%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)30.1%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)89.9%Not measuredOnly GLM 5.1 measured
SimpleBench55.1%Not measuredOnly GLM 5.1 measured
Chess puzzles20.0%37.0%Muse Spark 1.3
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts14731503Muse Spark 1.3
LMArena Text: expert14781519Muse Spark 1.3
LMArena Text: hard prompts in English14821500Muse 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 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
AIME91.9%Not measuredOnly GLM 5.1 measured
OTIS Mock AIME93.3%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 336.8%74.4%Muse Spark 1.3
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBench22.2%58.0%Muse Spark 1.3
LMArena Text: math14731497Muse Spark 1.3
LMArena Text: mathematical work14701491Muse 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 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
MMLU Pro86.9%Not measuredOnly GLM 5.1 measured
LegalBench (Vals AI)84.4%Not measuredOnly GLM 5.1 measured
CaseLaw (Vals AI)51.5%Not measuredOnly GLM 5.1 measured
CorpFin (Vals AI)64.5%Not measuredOnly GLM 5.1 measured
TaxEval (Vals AI)71.2%Not measuredOnly GLM 5.1 measured
MedCode (Vals AI)41.6%Not measuredOnly GLM 5.1 measured
SimpleQA Verified34.0%Not measuredOnly GLM 5.1 measured
LMArena Text: science14781507Muse Spark 1.3
LMArena Text: medicine and healthcare14741493Muse Spark 1.3
LMArena Text: legal and government14651499Muse Spark 1.3
LMArena Text: business and finance14521490Muse 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 index17
Web design benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
Design Arena: websites12901356Muse Spark 1.3
Design Arena: UI components12921349Muse Spark 1.3
Design Arena: game dev12651328Muse Spark 1.3
Design Arena: data viz13661343GLM 5.1
Design Arena: 3D13361358Muse Spark 1.3
Design Arena: all code categories12681352Muse Spark 1.3
Design Arena: SVG12181301Muse Spark 1.3
Design Arena: ASCII art11411278Muse 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 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
Public Benefits Bench (Vals AI)61.8%Not measuredOnly GLM 5.1 measured
MedScribe (Vals AI)72.3%Not measuredOnly GLM 5.1 measured
IFBench76.3%Not measuredOnly GLM 5.1 measured
Long context reasoning (AA-LCR)73.7%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
ExploitBench18.1%Not measuredOnly GLM 5.1 measured
LMArena Text14631490Muse Spark 1.3
LMArena Text: instruction following14531479Muse Spark 1.3
LMArena Text: creative writing14531462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English14761495Muse Spark 1.3
LMArena Text: non-English14481481Muse Spark 1.3
LMArena Text: Chinese15151532Muse Spark 1.3
LMArena Text: German14671513Muse Spark 1.3
LMArena Text: Japanese14351470Muse Spark 1.3
LMArena Text: Korean14241490Muse Spark 1.3
LMArena Text: French14701511Muse Spark 1.3
LMArena Text: Spanish14681496Muse Spark 1.3
LMArena Text: Russian14541491Muse Spark 1.3
LMArena Text: Polish14491490Muse Spark 1.3
LMArena Text: multi-turn14731487Muse Spark 1.3
LMArena Text: longer queries14671488Muse Spark 1.3
LMArena Text: writing and language14541470Muse Spark 1.3
LMArena Text: entertainment and media14421457Muse 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 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.1 and Muse Spark 1.3
BenchmarkGLM 5.1Muse 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 5.1$0.0036Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

GLM 5.1$0.083Fits in one request
Muse Spark 1.3$0.075Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

GLM 5.1$0.324Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

Muse Spark 1.3 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 5.1 and Muse Spark 1.3
SpecificationZ.ai GLM 5.1Meta Muse Spark 1.3
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 7, 2026September 2, 2026
Context window205K1.05M
Input $/Mtok$1.40$1.25
Output $/Mtok$4.40$4.25
Coding index49.257.4
Independent measurements behind it34
Cost per solved task$0.60Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.1 better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 49.2 for GLM 5.1. Pick GLM 5.1 for work measured by Design Arena: spreadsheets or Design Arena: data viz, where it leads.

Which is cheaper, GLM 5.1 or Muse Spark 1.3?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GLM 5.1 only.

Which has the bigger context window, GLM 5.1 or Muse Spark 1.3?

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

How many benchmarks is the GLM 5.1 vs Muse Spark 1.3 comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. GLM 5.1's coding index rests on 3 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-1-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GLM 5.1 vs Muse Spark 1.3</a></p>