Enter opens the highlighted result. Esc closes.

GLM 5.1 vs Muse Spark 1.2

Muse Spark 1.2 leads GLM 5.1 on coding, 55.7 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; 71 benchmarks have a result for both.

Replace GLM 5.1 Replace Muse Spark 1.2
GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
7
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
64
vs boards won of 71 shared

GLM 5.1 or Muse Spark 1.2: which to pick

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 49.2 for GLM 5.1.

Pick GLM 5.1 for a lower cost per solved task ($0.60 against $0.64) and work measured by Design Arena: HTML slides or LMArena Text: expert, where it leads.

Model AGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
71
GLM 5.1 only
18
Muse Spark 1.2 only
26
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 1.2 55.7 from 5 benchmarks.
Widest category
Intelligence, 10.0 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.1 31.5% against Muse Spark 1.2 79.1%, 47.6 points apart on a 0 to 100 scale.
Output price
GLM 5.1 $4.40 against Muse Spark 1.2 $4.25 per million output tokens, 1.0x apart.
Context window
GLM 5.1 takes 205K tokens, Muse Spark 1.2 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 1.2Ties
Coding013
Intelligence02
Agentic work110
Reasoning16
Math03
Knowledge010
Web design26
General314
All shared boards764
CodingLike-for-likeSix of these boards feed the Vibe Coding Index013
Coding benchmarks for GLM 5.1 and Muse Spark 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev15081534Muse Spark 1.2
AA Coding Index55.872.2Muse Spark 1.2
LiveCodeBench (Vals AI)81.4%Not measuredOnly GLM 5.1 measured
SWE-bench Verified (Vals AI)76.4%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)31.5%79.1%Muse Spark 1.2
Code migration (Vals AI)25.8%29.9%Muse Spark 1.2
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.2
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)56.9%69.7%Muse Spark 1.2
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCode44.8%57.4%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5.1 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML57.1%60.3%Muse Spark 1.2
ALE-Bench887.1Not measuredOnly GLM 5.1 measured
LMArena Text: coding14851505Muse Spark 1.2
LMArena Text: software and IT14841505Muse Spark 1.2
LMArena WebDev: React15051526Muse Spark 1.2
LMArena WebDev: HTML15081543Muse Spark 1.2
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 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
AA Intelligence Index26.139.6Muse Spark 1.2
Epoch Capabilities Index149.8155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index110
Agentic work benchmarks for GLM 5.1 and Muse Spark 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
AA Agentic Index23.943.2Muse Spark 1.2
Design Arena: agents building web apps11751221Muse Spark 1.2
Design Arena: agents building full-stack apps11671210Muse Spark 1.2
Design Arena: agents building mobile apps11621181Muse Spark 1.2
Design Arena: agents building Android apps11821222Muse Spark 1.2
Design Arena: agents building Godot games1053Not measuredOnly GLM 5.1 measured
Design Arena: agents building games11641179Muse Spark 1.2
Design Arena: HTML slides11201085GLM 5.1
Design Arena: PowerPoint slides11631172Muse Spark 1.2
Design Arena: spreadsheets1315Not measuredOnly GLM 5.1 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)44.8%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)27.9%43.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Muse Spark 1.2 measured
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom97.7%Not measuredOnly GLM 5.1 measured
APEX-Agents40.9%45.4%Muse Spark 1.2
Vending-Bench 2$5,634Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
Reasoning benchmarks for GLM 5.1 and Muse Spark 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
GPQA Diamond84.5%Not measuredOnly GLM 5.1 measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)Not measured86.1%Only Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)86.8%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)30.1%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)89.9%Not measuredOnly GLM 5.1 measured
SimpleBench55.1%74.5%Muse Spark 1.2
Chess puzzles20.0%27.0%Muse Spark 1.2
LMArena Text: hard prompts14731489Muse Spark 1.2
LMArena Text: expert14781475GLM 5.1
LMArena Text: hard prompts in English14821487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 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 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
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%43.0%Muse Spark 1.2
LMArena Text: math14731484Muse Spark 1.2
LMArena Text: mathematical work14701480Muse Spark 1.2
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GLM 5.1 and Muse Spark 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
MMLU Pro86.9%88.3%Muse Spark 1.2
LegalBench (Vals AI)84.4%85.3%Muse Spark 1.2
CaseLaw (Vals AI)51.5%Not measuredOnly GLM 5.1 measured
CorpFin (Vals AI)64.5%70.9%Muse Spark 1.2
TaxEval (Vals AI)71.2%80.4%Muse Spark 1.2
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)41.6%49.4%Muse Spark 1.2
SimpleQA Verified34.0%60.3%Muse Spark 1.2
LMArena Text: science14781500Muse Spark 1.2
LMArena Text: medicine and healthcare14741496Muse Spark 1.2
LMArena Text: legal and government14651517Muse Spark 1.2
LMArena Text: business and finance14521484Muse 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 index26
Web design benchmarks for GLM 5.1 and Muse Spark 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
Design Arena: websites12901312Muse Spark 1.2
Design Arena: UI components12921298Muse Spark 1.2
Design Arena: game dev12651301Muse Spark 1.2
Design Arena: data viz13661334GLM 5.1
Design Arena: 3D13361301GLM 5.1
Design Arena: all code categories12681312Muse Spark 1.2
Design Arena: SVG12181284Muse Spark 1.2
Design Arena: ASCII art11411284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index314
General benchmarks for GLM 5.1 and Muse Spark 1.2
BenchmarkGLM 5.1Muse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)61.8%68.5%Muse Spark 1.2
SAGE (Vals AI)Not measured47.7%Only Muse Spark 1.2 measured
MedScribe (Vals AI)72.3%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
IFBench76.3%Not measuredOnly GLM 5.1 measured
Long context reasoning (AA-LCR)73.7%79.0%Muse Spark 1.2
DTBenchNot measured94.7%Only Muse Spark 1.2 measured
LMCANot measured48.4%Only Muse Spark 1.2 measured
ExploitBench18.1%Not measuredOnly GLM 5.1 measured
LMArena Text14631482Muse Spark 1.2
LMArena Text: instruction following14531462Muse Spark 1.2
LMArena Text: creative writing14531436GLM 5.1
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English14761483Muse Spark 1.2
LMArena Text: non-English14481476Muse Spark 1.2
LMArena Text: Chinese15151509GLM 5.1
LMArena Text: German1467Not measuredOnly GLM 5.1 measured
LMArena Text: Japanese1435Not measuredOnly GLM 5.1 measured
LMArena Text: Korean14241462Muse Spark 1.2
LMArena Text: French14701495Muse Spark 1.2
LMArena Text: Spanish14681484Muse Spark 1.2
LMArena Text: Russian14541483Muse Spark 1.2
LMArena Text: Polish1449Not measuredOnly GLM 5.1 measured
LMArena Text: multi-turn14731502Muse Spark 1.2
LMArena Text: longer queries14671473Muse Spark 1.2
LMArena Text: writing and language14541453GLM 5.1
LMArena Text: entertainment and media14421443Muse Spark 1.2
LMArena Vision: EnglishNot measured1291Only Muse Spark 1.2 measured
LMArena Vision: reading textNot measured1313Only Muse Spark 1.2 measured
Neither model has a result on the other 16 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 1.2
BenchmarkGLM 5.1Muse 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 5.1$0.0036Fits in one request
Muse Spark 1.2$0.0034Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

GLM 5.1$0.083Fits in one request
Muse Spark 1.2$0.075Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

GLM 5.1$0.324Exceeds the context window
Muse Spark 1.2$0.292Fits in one request

Muse Spark 1.2 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 1.2
SpecificationZ.ai GLM 5.1Meta Muse Spark 1.2
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 7, 2026August 5, 2026
Context window205K1.05M
Input $/Mtok$1.40$1.25
Output $/Mtok$4.40$4.25
Coding index49.255.7
Independent measurements behind it35
Cost per solved task$0.60$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.1 better than Muse Spark 1.2 for coding?

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 49.2 for GLM 5.1. Pick GLM 5.1 for a lower cost per solved task ($0.60 against $0.64) and work measured by Design Arena: HTML slides or LMArena Text: expert, where it leads.

Which is cheaper, GLM 5.1 or Muse Spark 1.2?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GLM 5.1 costs $0.60 and Muse Spark 1.2 $0.64.

Which has the bigger context window, GLM 5.1 or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5.1 vs Muse Spark 1.2 comparison based on?

71 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 1.2's on 5. 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-5-1-vs-meta-muse-spark-1-2" title="GLM 5.1 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-5-1-vs-meta-muse-spark-1-2">LLMBenchmark.ai, GLM 5.1 vs Muse Spark 1.2</a></p>