How do GLM-5.2 and Muse Spark 1.1 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GLM-5.2 and Muse Spark 1.1 when publicly disclosed.

LLM Comparison

GLM-5.2 vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.2 or Muse Spark 1.1?

AskClash compares GLM-5.2 and Muse Spark 1.1 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side GLM-5.2 vs Muse Spark 1.1 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboard GLM-5.2 model page Muse Spark 1.1 model page

Rank #21 vs #24AskClash overall scores 54.9 vs 54.6.

Pricing $1.40/$4.40 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs Meta.

GLM-5.2 vs Muse Spark 1.1 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	GLM-5.2	Muse Spark 1.1
Overall Score	54.9	54.6
Leaderboard Rank	#21	#24
ACB	—	51.3
RWT	8.5	7.5
Coding Agent Index	74.4	—
HLE	54.7	62.1
GPQA	91.2	—
IFEval	73.3	—
SWE-Pro	62.1	61.5
SWE-Atlas	74.4	—
Terminal-Bench	82.7	80.0
DeepSWE	43.8	53.3
GDPval-AA	—	1381.0
OSWorld	—	80.8
MCP Atlas	76.8	88.1
Finance Agent	49.7	57.2
CharXiv	—	88.4
Tau2	99.1	—
MRCR	—	54.1
Input Price (per 1M tokens)	$1.40	$1.25
Output Price (per 1M tokens)	$4.40	$4.25
Context Window	1M	1M
Benchmarks Published	12	12

GLM-5.2 vs Muse Spark 1.1 head-to-head charts

GLM-5.2 leads 4 and Muse Spark 1.1 leads 4 of 8 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.2Muse Spark 1.1

Overall

54.9GLM-5.2

54.6Muse Spark 1.1

RWT

8.5GLM-5.2

7.5Muse Spark 1.1

HLE

54.7GLM-5.2

62.1Muse Spark 1.1

SWE-Pro

62.1GLM-5.2

61.5Muse Spark 1.1

Terminal-Bench

82.7GLM-5.2

80.0Muse Spark 1.1

DeepSWE

43.8GLM-5.2

53.3Muse Spark 1.1

MCP Atlas

76.8GLM-5.2

88.1Muse Spark 1.1

Finance Agent

49.7GLM-5.2

57.2Muse Spark 1.1

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

Muse Spark 1.1

Input$1.25

Output$4.25

Workload$2.10

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GLM-5.2 and Muse Spark 1.1 comparisons

Explore how GLM-5.2 and Muse Spark 1.1 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.2 Claude Fable 5.1 vs Muse Spark 1.1 Claude Fable 5 vs GLM-5.2 Claude Fable 5 vs Muse Spark 1.1 GPT-5.6 Sol vs GLM-5.2 GPT-5.6 Sol vs Muse Spark 1.1 Claude Opus 5 vs GLM-5.2 Claude Opus 5 vs Muse Spark 1.1 Grok 4.6 vs GLM-5.2 Grok 4.6 vs Muse Spark 1.1

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.