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GLM 4.6 vs Muse Spark 1.2

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.6 Replace Muse Spark 1.2
GLM 4.6Z.ai
Coding
52.2
Overall
18.5
Output $/M
$2.20
0
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
47
vs boards won of 47 shared

Decision reading

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 52.2 for GLM 4.6.

Pick GLM 4.6 when output tokens cost 1.9x less.

Model AGLM 4.6Z.ai52.2/1002 independent benchmarksNo cost per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
47
GLM 4.6 only
19
Muse Spark 1.2 only
50
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 4.6 52.2 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
Widest category
Coding, 30.0 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 4.6 3.1% against Muse Spark 1.2 79.1%, 76.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Muse Spark 1.2 $4.25 per million output tokens, 1.9x apart.
Context window
GLM 4.6 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 4.6BarsMuse Spark 1.2Ties
Coding06
Intelligence01
Agentic work03
Reasoning05
Math02
Knowledge08
Web design07
General015
All shared boards047
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
Coding benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev13411534Muse Spark 1.2
AA Coding Index45.872.2Muse Spark 1.2
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)3.1%79.1%Muse Spark 1.2
Code migration (Vals AI)Not measured29.9%Only Muse Spark 1.2 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.2 measured
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.7%Only Muse Spark 1.2 measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured57.4%Only Muse Spark 1.2 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%Not measuredOnly GLM 4.6 measured
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdMLNot measured60.3%Only Muse Spark 1.2 measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491505Muse Spark 1.2
LMArena Text: software and IT14551505Muse Spark 1.2
LMArena WebDev: ReactNot measured1526Only Muse Spark 1.2 measured
LMArena WebDev: HTML13501543Muse Spark 1.2
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
AA Intelligence Index18.539.6Muse Spark 1.2
Epoch Capabilities IndexNot measured155.1Only Muse Spark 1.2 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
AA Agentic IndexNot measured43.2Only Muse Spark 1.2 measured
Design Arena: agents building web appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building full-stack apps10291210Muse Spark 1.2
Design Arena: agents building mobile apps10961182Muse Spark 1.2
Design Arena: agents building Android apps10901228Muse Spark 1.2
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1135Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1198Only Muse Spark 1.2 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)Not measured60.6%Only Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Muse Spark 1.2 measured
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 Telecom76.9%Not measuredOnly GLM 4.6 measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 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 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 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)78.0%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)14.5%45.5%Muse Spark 1.2
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzlesNot measured27.0%Only Muse Spark 1.2 measured
LMArena Text: hard prompts14401489Muse Spark 1.2
LMArena Text: expert14321475Muse Spark 1.2
LMArena Text: hard prompts in English14451487Muse 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 index02
Math benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
ProofBenchNot measured43.0%Only Muse Spark 1.2 measured
LMArena Text: math14321484Muse Spark 1.2
LMArena Text: mathematical work14471480Muse Spark 1.2
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
MMLU Pro82.2%88.3%Muse Spark 1.2
LegalBench (Vals AI)79.6%85.3%Muse Spark 1.2
CorpFin (Vals AI)56.8%70.9%Muse Spark 1.2
TaxEval (Vals AI)66.2%80.4%Muse Spark 1.2
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured49.4%Only Muse Spark 1.2 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science14561500Muse Spark 1.2
LMArena Text: medicine and healthcare14551496Muse Spark 1.2
LMArena Text: legal and government14481517Muse Spark 1.2
LMArena Text: business and finance14161484Muse Spark 1.2
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
Design Arena: websites11741313Muse Spark 1.2
Design Arena: UI components11471300Muse Spark 1.2
Design Arena: game dev11511302Muse Spark 1.2
Design Arena: data viz11611334Muse Spark 1.2
Design Arena: 3D11291301Muse Spark 1.2
Design Arena: all code categories11661313Muse Spark 1.2
Design Arena: SVG11081285Muse Spark 1.2
Design Arena: ASCII artNot measured1284Only Muse Spark 1.2 measured
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
General benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)Not measured47.7%Only Muse Spark 1.2 measured
MedScribe (Vals AI)Not measured90.1%Only Muse Spark 1.2 measured
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
IFBench43.4%Not measuredOnly GLM 4.6 measured
Long context reasoning (AA-LCR)54.0%79.0%Muse Spark 1.2
DTBenchNot measured94.7%Only Muse Spark 1.2 measured
LMCANot measured48.4%Only Muse Spark 1.2 measured
LMArena Text14401482Muse Spark 1.2
LMArena Text: instruction following14101462Muse Spark 1.2
LMArena Text: creative writing14121436Muse Spark 1.2
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English14491483Muse Spark 1.2
LMArena Text: non-English14261476Muse Spark 1.2
LMArena Text: Chinese14991509Muse Spark 1.2
LMArena Text: German1447Not measuredOnly GLM 4.6 measured
LMArena Text: Japanese1393Not measuredOnly GLM 4.6 measured
LMArena Text: Korean14001462Muse Spark 1.2
LMArena Text: French14591495Muse Spark 1.2
LMArena Text: Spanish14361484Muse Spark 1.2
LMArena Text: Russian14181483Muse Spark 1.2
LMArena Text: Polish1447Not measuredOnly GLM 4.6 measured
LMArena Text: multi-turn14271502Muse Spark 1.2
LMArena Text: longer queries14221473Muse Spark 1.2
LMArena Text: writing and language14151453Muse Spark 1.2
LMArena Text: entertainment and media14091443Muse 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 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and Muse Spark 1.2
BenchmarkGLM 4.6Muse 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 4.6$0.0016Fits in one request
Muse Spark 1.2$0.0034Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.034Fits in one request
Muse Spark 1.2$0.075Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.132Exceeds the context window
Muse Spark 1.2$0.292Fits in one request

GLM 4.6 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 4.6 and Muse Spark 1.2
SpecificationZ.ai GLM 4.6Meta Muse Spark 1.2
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025August 5, 2026
Context window205K1.05M
Input $/Mtok$0.55$1.25
Output $/Mtok$2.20$4.25
Coding index52.265.1
Independent measurements behind it22
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Muse Spark 1.2 for coding?

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 52.2 for GLM 4.6. Pick GLM 4.6 when output tokens cost 1.9x less.

Which is cheaper, GLM 4.6 or Muse Spark 1.2?

GLM 4.6 costs $0.55 per million input tokens and $2.20 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, GLM 4.6 or Muse Spark 1.2?

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

How many benchmarks is the GLM 4.6 vs Muse Spark 1.2 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. GLM 4.6's coding index rests on 2 independent benchmarks and Muse Spark 1.2's on 2. 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-4-6-vs-meta-muse-spark-1-2" title="GLM 4.6 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-4-6-vs-meta-muse-spark-1-2">LLMBenchmark.ai, GLM 4.6 vs Muse Spark 1.2</a></p>