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GLM 5 vs Muse Spark Open

Muse Spark Open leads GLM 5 on coding, 47.4 to 41.7 on the Vibe Coding Index, and GLM 5 costs 1.3x less per output token ($3.20 vs $4.25 per million). Updated October 22, 2026; 11 benchmarks have a result for both.

Replace GLM 5 Replace Muse Spark Open
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
0
Muse Spark OpenMeta
Coding
47.4
Overall
44.9
Output $/M
$4.25
11
vs boards won of 11 shared

GLM 5 or Muse Spark Open: which to pick

Pick Muse Spark Open for coding: it scores 47.4 on the Vibe Coding Index against 41.7 for GLM 5.

Pick GLM 5 for output tokens 1.3x cheaper ($3.20 vs $4.25 per million).

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BMuse Spark OpenMeta47.4/1004 independent benchmarksNo cost per solved task
Shared results
11
GLM 5 only
65
Muse Spark Open only
17
Like-for-like categories
5 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 41.7 from 3 benchmarks, Muse Spark Open 47.4 from 4 benchmarks.
Widest category
Coding, 23.7 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5 23.4% against Muse Spark Open 76.2%, 52.8 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Muse Spark Open $4.25 per million output tokens, 1.3x apart.
Context window
GLM 5 takes 205K tokens, Muse Spark Open 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 5BarsMuse Spark OpenTies
Coding05
Intelligence01
Reasoning02
Web design02
General01
All shared boards011
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDev14351528Muse Spark Open
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)23.4%76.2%Muse Spark Open
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
SciCodeNot measured58.4%Only Muse Spark Open measured
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.61590.1Muse Spark Open
LMArena Text: coding1461Not measuredOnly GLM 5 measured
LMArena Text: software and IT1460Not measuredOnly GLM 5 measured
LMArena WebDev: React14241529Muse Spark Open
LMArena WebDev: HTML14501495Muse Spark Open
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
AA Intelligence Index27.9Not measuredOnly GLM 5 measured
Epoch Capabilities Index145.8155.1Muse Spark Open
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1147Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1098Not measuredOnly GLM 5 measured
LiveBench researchNot measured80.3%Only Muse Spark Open measured
LiveBench browserNot measured36.0%Only Muse Spark Open measured
LiveBench long agenticNot measured18.9%Only Muse Spark Open measured
Finance Agent (Vals AI)Not measured61.3%Only Muse Spark Open measured
Tax Agent Bench (Vals AI)Not measured26.3%Only Muse Spark Open measured
Legal Research Bench (Vals AI)Not measured38.5%Only Muse Spark Open measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured25.0%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
τ²-Bench Telecom98.2%Not measuredOnly GLM 5 measured
APEX-AgentsNot measured33.4%Only Muse Spark Open measured
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)82.0%89.0%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)29.3%43.9%Muse Spark Open
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
LMArena Text: hard prompts1452Not measuredOnly GLM 5 measured
LMArena Text: expert1454Not measuredOnly GLM 5 measured
LMArena Text: hard prompts in English1460Not measuredOnly GLM 5 measured
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 10 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
LMArena Text: math1440Not measuredOnly GLM 5 measured
LMArena Text: mathematical work1451Not measuredOnly GLM 5 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
MMLU Pro86.0%Not measuredOnly GLM 5 measured
LegalBench (Vals AI)84.1%Not measuredOnly GLM 5 measured
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%Not measuredOnly GLM 5 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
LMArena Text: science1460Not measuredOnly GLM 5 measured
LMArena Text: medicine and healthcare1455Not measuredOnly GLM 5 measured
LMArena Text: legal and government1453Not measuredOnly GLM 5 measured
LMArena Text: business and finance1430Not measuredOnly GLM 5 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
Design Arena: websites12471310Muse Spark Open
Design Arena: UI components1227Not measuredOnly GLM 5 measured
Design Arena: game dev12341282Muse Spark Open
Design Arena: data viz1228Not measuredOnly GLM 5 measured
Design Arena: 3D1228Not measuredOnly GLM 5 measured
Design Arena: all code categories1246Not measuredOnly GLM 5 measured
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1147Not measuredOnly GLM 5 measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
Vals IndexNot measured48.6%Only Muse Spark Open measured
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%78.3%Muse Spark Open
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text1446Not measuredOnly GLM 5 measured
LMArena Text: instruction following1428Not measuredOnly GLM 5 measured
LMArena Text: creative writing1438Not measuredOnly GLM 5 measured
LMArena Text: English1458Not measuredOnly GLM 5 measured
LMArena Text: non-English1430Not measuredOnly GLM 5 measured
LMArena Text: Chinese1511Not measuredOnly GLM 5 measured
LMArena Text: German1447Not measuredOnly GLM 5 measured
LMArena Text: Japanese1416Not measuredOnly GLM 5 measured
LMArena Text: Korean1423Not measuredOnly GLM 5 measured
LMArena Text: French1456Not measuredOnly GLM 5 measured
LMArena Text: Spanish1454Not measuredOnly GLM 5 measured
LMArena Text: Russian1436Not measuredOnly GLM 5 measured
LMArena Text: Polish1434Not measuredOnly GLM 5 measured
LMArena Text: multi-turn1456Not measuredOnly GLM 5 measured
LMArena Text: longer queries1446Not measuredOnly GLM 5 measured
LMArena Text: writing and language1437Not measuredOnly GLM 5 measured
LMArena Text: entertainment and media1426Not measuredOnly GLM 5 measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and Muse Spark Open
BenchmarkGLM 5Muse Spark OpenLeader
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$0.0026Fits in one request
Muse Spark Open$0.0034Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Muse Spark Open$0.075Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Muse Spark Open$0.292Fits in one request

GLM 5 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 and Muse Spark Open
SpecificationZ.ai GLM 5Meta Muse Spark Open
MakerZ.aiMeta
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026October 15, 2026
Context window205K1.05M
Input $/Mtok$1.00$1.25
Output $/Mtok$3.20$4.25
Coding index41.747.4
Independent measurements behind it34
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Muse Spark Open for coding?

Pick Muse Spark Open for coding: it scores 47.4 on the Vibe Coding Index against 41.7 for GLM 5. Pick GLM 5 for output tokens 1.3x cheaper ($3.20 vs $4.25 per million).

Which is cheaper, GLM 5 or Muse Spark Open?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or Muse Spark Open?

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

How many benchmarks is the GLM 5 vs Muse Spark Open comparison based on?

11 benchmarks have a result for both models as of October 22, 2026. GLM 5's coding index rests on 3 independent benchmarks and Muse Spark Open's on 4. 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-vs-meta-muse-spark-open" title="GLM 5 vs Muse Spark Open, 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-vs-meta-muse-spark-open">LLMBenchmark.ai, GLM 5 vs Muse Spark Open</a></p>