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GLM 5.2 vs Muse Spark 1.2

Updated October 21, 2026. 75 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.2 Replace Muse Spark 1.2
GLM 5.2Z.ai
Coding
57.7
Overall
33.7
Output $/M
$7.00
17
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
55
vs boards won of 75 shared, 3 tied

Decision reading

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 57.7 for GLM 5.2.

Pick GLM 5.2 when what matters is LMArena WebDev or Code migration (Vals AI), where it leads.

Model AGLM 5.2Z.ai57.7/1001 independent benchmark$0.86 per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
75
GLM 5.2 only
22
Muse Spark 1.2 only
22
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 5.2 57.7 from 1 benchmark, Muse Spark 1.2 65.1 from 2 benchmarks.
Widest category
Knowledge, 6.6 points apart on average over 10 shared benchmarks.
Widest single gap
SimpleQA Verified: GLM 5.2 34.2% against Muse Spark 1.2 60.3%, 26.1 points apart on a 0 to 100 scale.
Output price
GLM 5.2 $7.00 against Muse Spark 1.2 $4.25 per million output tokens, 1.6x apart.
Context window
Both take 1.05M tokens.

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 5.2BarsMuse Spark 1.2Ties
Coding581 tie
Intelligence02
Agentic work472 ties
Reasoning16
Math12
Knowledge010
Web design08
General612
All shared boards17553 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index58
Coding benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev16041534GLM 5.2
AA Coding Index68.872.2Muse Spark 1.2
LiveCodeBench (Vals AI)69.5%Not measuredOnly GLM 5.2 measured
SWE-bench Verified (Vals AI)82.8%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)64.0%79.1%Muse Spark 1.2
Code migration (Vals AI)37.9%29.9%GLM 5.2
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)67.8%69.7%Muse Spark 1.2
SkillsBench (Vals AI)45.1%53.0%Muse Spark 1.2
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCode51.2%57.4%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)50.8%Not measuredOnly GLM 5.2 measured
FrontierCode24.5%Not measuredOnly GLM 5.2 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML70.1%60.3%GLM 5.2
ALE-Bench1047.0Not measuredOnly GLM 5.2 measured
LMArena Text: coding14871505Muse Spark 1.2
LMArena Text: software and IT14861505Muse Spark 1.2
LMArena WebDev: React16171526GLM 5.2
LMArena WebDev: HTML15651543GLM 5.2
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
AA Intelligence Index33.739.6Muse Spark 1.2
Epoch Capabilities Index151.9155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index47
Agentic work benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
AA Agentic Index38.443.2Muse Spark 1.2
Design Arena: agents building web apps12221222Tie
Design Arena: agents building full-stack apps12411210GLM 5.2
Design Arena: agents building mobile apps11601182Muse Spark 1.2
Design Arena: agents building Android apps11841228Muse Spark 1.2
Design Arena: agents building Godot games1142Not measuredOnly GLM 5.2 measured
Design Arena: agents building games12061179GLM 5.2
Design Arena: HTML slides11751135GLM 5.2
Design Arena: PowerPoint slides11951198Muse Spark 1.2
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)0.0%0.0%Tie
Finance Agent (Vals AI)49.7%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)31.3%43.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)61.5%57.0%GLM 5.2
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom99.1%Not measuredOnly GLM 5.2 measured
APEX-Agents45.2%45.4%Muse Spark 1.2
PostTrainBench31.7%Not measuredOnly GLM 5.2 measured
Vending-Bench 2$8,314Not measuredOnly GLM 5.2 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
Reasoning benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
GPQA Diamond85.6%Not measuredOnly GLM 5.2 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)89.5%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)41.1%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)91.9%Not measuredOnly GLM 5.2 measured
ARC-AGI77.0%Not measuredOnly GLM 5.2 measured
ARC-AGI-222.8%Not measuredOnly GLM 5.2 measured
SimpleBench58.8%74.5%Muse Spark 1.2
Chess puzzles22.0%27.0%Muse Spark 1.2
Mystery game puzzles19.0%Not measuredOnly GLM 5.2 measured
EBR-bench9.5%Not measuredOnly GLM 5.2 measured
LMArena Text: hard prompts14811489Muse Spark 1.2
LMArena Text: expert14871475GLM 5.2
LMArena Text: hard prompts in English14811487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
OTIS Mock AIME86.4%Not measuredOnly GLM 5.2 measured
FrontierMath, tiers 1 to 359.2%Not measuredOnly GLM 5.2 measured
FrontierMath, tier 429.3%Not measuredOnly GLM 5.2 measured
ProofBench35.0%43.0%Muse Spark 1.2
LMArena Text: math14831484Muse Spark 1.2
LMArena Text: mathematical work14891480GLM 5.2
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 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
MMLU Pro86.7%88.3%Muse Spark 1.2
LegalBench (Vals AI)84.1%85.3%Muse Spark 1.2
CorpFin (Vals AI)66.1%70.9%Muse Spark 1.2
TaxEval (Vals AI)73.3%80.4%Muse Spark 1.2
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)40.8%49.4%Muse Spark 1.2
SimpleQA Verified34.2%60.3%Muse Spark 1.2
LMArena Text: science14891500Muse Spark 1.2
LMArena Text: medicine and healthcare14751496Muse Spark 1.2
LMArena Text: legal and government14861517Muse Spark 1.2
LMArena Text: business and finance14511484Muse 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 index08
Web design benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse Spark 1.2Leader
Design Arena: websites12851313Muse Spark 1.2
Design Arena: UI components12961300Muse Spark 1.2
Design Arena: game dev12681302Muse Spark 1.2
Design Arena: data viz12851334Muse Spark 1.2
Design Arena: 3D12881301Muse Spark 1.2
Design Arena: all code categories12881313Muse Spark 1.2
Design Arena: SVG12141285Muse Spark 1.2
Design Arena: ASCII art11901284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index612
General benchmarks for GLM 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse 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)83.5%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
IFBench73.3%Not measuredOnly GLM 5.2 measured
Long context reasoning (AA-LCR)78.3%79.0%Muse Spark 1.2
DTBench93.6%94.7%Muse Spark 1.2
LMCA45.8%48.4%Muse Spark 1.2
Surface Evolver Bench55.6%Not measuredOnly GLM 5.2 measured
LMArena Text14701482Muse Spark 1.2
LMArena Text: instruction following14661462GLM 5.2
LMArena Text: creative writing14631436GLM 5.2
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English14751483Muse Spark 1.2
LMArena Text: non-English14591476Muse Spark 1.2
LMArena Text: Chinese15221509GLM 5.2
LMArena Text: German1470Not measuredOnly GLM 5.2 measured
LMArena Text: Japanese1450Not measuredOnly GLM 5.2 measured
LMArena Text: Korean14401462Muse Spark 1.2
LMArena Text: French14791495Muse Spark 1.2
LMArena Text: Spanish14781484Muse Spark 1.2
LMArena Text: Russian14681483Muse Spark 1.2
LMArena Text: Polish1456Not measuredOnly GLM 5.2 measured
LMArena Text: multi-turn14691502Muse Spark 1.2
LMArena Text: longer queries14801473GLM 5.2
LMArena Text: writing and language14631453GLM 5.2
LMArena Text: entertainment and media14501443GLM 5.2
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 5.2 and Muse Spark 1.2
BenchmarkGLM 5.2Muse 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 5.2$0.0035Fits 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 5.2$0.023Fits in one request
Muse Spark 1.2$0.075Fits in one request

GLM 5.2 costs less

Agent loop

200K input + 10K output tokens

GLM 5.2$0.077Fits in one request
Muse Spark 1.2$0.292Fits in one request

GLM 5.2 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 5.2 and Muse Spark 1.2
SpecificationZ.ai GLM 5.2Meta Muse Spark 1.2
MakerZ.aiMeta
WeightsOpen weightsNo public weights listed
ReleasedJune 16, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.0341$1.25
Output $/Mtok$7.00$4.25
Coding index57.765.1
Independent measurements behind it12
Cost per solved task$0.86$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.2 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 57.7 for GLM 5.2. Pick GLM 5.2 when what matters is LMArena WebDev or Code migration (Vals AI), where it leads.

Which is cheaper, GLM 5.2 or Muse Spark 1.2?

GLM 5.2 costs $0.0341 per million input tokens and $7.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GLM 5.2 costs $0.86 and Muse Spark 1.2 $0.64.

Which has the bigger context window, GLM 5.2 or Muse Spark 1.2?

Neither: both take 1.05M tokens.

How many benchmarks is the GLM 5.2 vs Muse Spark 1.2 comparison based on?

75 benchmarks have a result for both models as of October 21, 2026. GLM 5.2's coding index rests on 1 independent benchmark 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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