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GLM 5.1 vs Muse Spark 1.1

Muse Spark 1.1 leads GLM 5.1 on coding, 70.3 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; 76 benchmarks have a result for both.

Replace GLM 5.1 Replace Muse Spark 1.1
GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
16
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
59
vs boards won of 76 shared, 1 tied

GLM 5.1 or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 49.2 for GLM 5.1.

Pick GLM 5.1 for work measured by Design Arena: agents building Android apps or Design Arena: PowerPoint slides, where it leads.

Model AGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
76
GLM 5.1 only
13
Muse Spark 1.1 only
20
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 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 9.0 points apart on average over 13 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.1 31.5% against Muse Spark 1.1 72.2%, 40.7 points apart on a 0 to 100 scale.
Output price
GLM 5.1 $4.40 against Muse Spark 1.1 $4.25 per million output tokens, 1.0x apart.
Context window
GLM 5.1 takes 205K tokens, Muse Spark 1.1 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 1.1Ties
Coding0121 tie
Intelligence02
Agentic work410
Reasoning25
Math03
Knowledge09
Web design44
General614
All shared boards16591 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index012
Coding benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
LMArena WebDev15081542Muse Spark 1.1
AA Coding Index55.871.3Muse Spark 1.1
LiveCodeBench (Vals AI)81.4%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)76.4%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)31.5%72.2%Muse Spark 1.1
Code migration (Vals AI)25.8%31.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)56.9%69.3%Muse Spark 1.1
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCode44.8%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5.1 measured
WeirdML57.1%Not measuredOnly GLM 5.1 measured
ALE-Bench887.1Not measuredOnly GLM 5.1 measured
LMArena Text: coding14851498Muse Spark 1.1
LMArena Text: software and IT14841498Muse Spark 1.1
LMArena WebDev: React15051532Muse Spark 1.1
LMArena WebDev: HTML15081540Muse Spark 1.1
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
AA Intelligence Index26.133.7Muse Spark 1.1
Epoch Capabilities Index149.8154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index410
Agentic work benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
AA Agentic Index23.925.8Muse Spark 1.1
Design Arena: agents building web apps11751207Muse Spark 1.1
Design Arena: agents building full-stack apps11671199Muse Spark 1.1
Design Arena: agents building mobile apps11621175Muse Spark 1.1
Design Arena: agents building Android apps11821178GLM 5.1
Design Arena: agents building Godot games10531103Muse Spark 1.1
Design Arena: agents building games11641183Muse Spark 1.1
Design Arena: HTML slides11201195Muse Spark 1.1
Design Arena: PowerPoint slides11631155GLM 5.1
Design Arena: spreadsheets13151042GLM 5.1
Finance Agent (Vals AI)44.8%57.2%Muse Spark 1.1
Legal Research Bench (Vals AI)27.9%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom97.7%Not measuredOnly GLM 5.1 measured
APEX-Agents40.9%31.8%GLM 5.1
Vending-Bench 2$5,634$6,520Muse Spark 1.1
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
GPQA Diamond84.5%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)Not measured86.6%Only Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)86.8%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)30.1%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)89.9%Not measuredOnly GLM 5.1 measured
SimpleBench55.1%Not measuredOnly GLM 5.1 measured
Chess puzzles20.0%34.0%Muse Spark 1.1
LMArena Text: hard prompts14731485Muse Spark 1.1
LMArena Text: expert14781478GLM 5.1
LMArena Text: hard prompts in English14821480GLM 5.1
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
AIME91.9%Not measuredOnly GLM 5.1 measured
OTIS Mock AIME93.3%Not measuredOnly GLM 5.1 measured
FrontierMath, tiers 1 to 336.8%Not measuredOnly GLM 5.1 measured
ProofBench22.2%39.0%Muse Spark 1.1
LMArena Text: math14731482Muse Spark 1.1
LMArena Text: mathematical work14701487Muse Spark 1.1
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
MMLU Pro86.9%88.7%Muse Spark 1.1
LegalBench (Vals AI)84.4%85.0%Muse Spark 1.1
CaseLaw (Vals AI)51.5%Not measuredOnly GLM 5.1 measured
CorpFin (Vals AI)64.5%71.3%Muse Spark 1.1
TaxEval (Vals AI)71.2%79.7%Muse Spark 1.1
MortgageTax (Vals AI)Not measured66.1%Only Muse Spark 1.1 measured
MedCode (Vals AI)41.6%Not measuredOnly GLM 5.1 measured
SimpleQA Verified34.0%57.8%Muse Spark 1.1
LMArena Text: science14781484Muse Spark 1.1
LMArena Text: medicine and healthcare14741479Muse Spark 1.1
LMArena Text: legal and government14651481Muse Spark 1.1
LMArena Text: business and finance14521470Muse Spark 1.1
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index44
Web design benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
Design Arena: websites12901270GLM 5.1
Design Arena: UI components12921289GLM 5.1
Design Arena: game dev12651269Muse Spark 1.1
Design Arena: data viz13661268GLM 5.1
Design Arena: 3D13361260GLM 5.1
Design Arena: all code categories12681276Muse Spark 1.1
Design Arena: SVG12181235Muse Spark 1.1
Design Arena: ASCII art11411271Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index614
General benchmarks for GLM 5.1 and Muse Spark 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)61.8%61.3%GLM 5.1
SAGE (Vals AI)Not measured45.6%Only Muse Spark 1.1 measured
MedScribe (Vals AI)72.3%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench76.3%Not measuredOnly GLM 5.1 measured
Long context reasoning (AA-LCR)73.7%77.7%Muse Spark 1.1
DTBenchNot measured94.4%Only Muse Spark 1.1 measured
LMCANot measured49.9%Only Muse Spark 1.1 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
ExploitBench18.1%Not measuredOnly GLM 5.1 measured
LMArena Text14631478Muse Spark 1.1
LMArena Text: instruction following14531457Muse Spark 1.1
LMArena Text: creative writing14531435GLM 5.1
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: English14761478Muse Spark 1.1
LMArena Text: non-English14481471Muse Spark 1.1
LMArena Text: Chinese15151515Muse Spark 1.1
LMArena Text: German14671469Muse Spark 1.1
LMArena Text: Japanese14351450Muse Spark 1.1
LMArena Text: Korean14241459Muse Spark 1.1
LMArena Text: French14701492Muse Spark 1.1
LMArena Text: Spanish14681464GLM 5.1
LMArena Text: Russian14541482Muse Spark 1.1
LMArena Text: Polish14491499Muse Spark 1.1
LMArena Text: multi-turn14731484Muse Spark 1.1
LMArena Text: longer queries14671462GLM 5.1
LMArena Text: writing and language14541448GLM 5.1
LMArena Text: entertainment and media14421438GLM 5.1
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
Neither model has a result on the other 12 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 1.1
BenchmarkGLM 5.1Muse Spark 1.1Leader
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 1.1$0.0034Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

GLM 5.1$0.083Fits in one request
Muse Spark 1.1$0.075Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

GLM 5.1$0.324Exceeds the context window
Muse Spark 1.1$0.292Fits in one request

Muse Spark 1.1 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 1.1
SpecificationZ.ai GLM 5.1Meta Muse Spark 1.1
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 7, 2026July 16, 2026
Context window205K1.05M
Input $/Mtok$1.40$1.25
Output $/Mtok$4.40$4.25
Coding index49.270.3
Independent measurements behind it33
Cost per solved task$0.60$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.1 better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 49.2 for GLM 5.1. Pick GLM 5.1 for work measured by Design Arena: agents building Android apps or Design Arena: PowerPoint slides, where it leads.

Which is cheaper, GLM 5.1 or Muse Spark 1.1?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GLM 5.1 costs $0.60 and Muse Spark 1.1 $0.43.

Which has the bigger context window, GLM 5.1 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5.1 vs Muse Spark 1.1 comparison based on?

76 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 1.1's on 3. 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-5-1-vs-meta-muse-spark-1-1" title="GLM 5.1 vs Muse Spark 1.1, 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-5-1-vs-meta-muse-spark-1-1">LLMBenchmark.ai, GLM 5.1 vs Muse Spark 1.1</a></p>