How do GLM-5.3-Flash and Muse Spark 1.3 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-5.3-Flash and Muse Spark 1.3 when publicly disclosed.

LLM Comparison

GLM-5.3-Flash vs Muse Spark 1.3: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.3-Flash or Muse Spark 1.3?

AskClash compares GLM-5.3-Flash and Muse Spark 1.3 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-5.3-Flash vs Muse Spark 1.3 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-5.3-Flash model page Muse Spark 1.3 model page

Rank #12 vs #15AskClash overall scores 61.9 vs 58.2.

Pricing $0.15/$0.50 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs Meta.

GLM-5.3-Flash vs Muse Spark 1.3 benchmark comparison

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

Metric	GLM-5.3-Flash	Muse Spark 1.3
Overall Score	61.9	58.2
Leaderboard Rank	#12	#15
ACB	61.2	55.5
RWT	8.5	7.5
HLE	55.3	—
GPQA	91.2	—
SWE-Atlas	—	59.4
Terminal-Bench	84.3	88.8
DeepSWE	63.4	75.4
GDPval-AA	1773.0	1754.0
Finance Agent	57.9	—
CharXiv	89.4	—
MRCR	—	98.1
Input Price (per 1M tokens)	$0.15	$1.25
Output Price (per 1M tokens)	$0.50	$4.25
Context Window	1M	1M
Benchmarks Published	9	6

GLM-5.3-Flash vs Muse Spark 1.3 head-to-head charts

GLM-5.3-Flash leads 4 and Muse Spark 1.3 leads 2 of 6 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3-FlashMuse Spark 1.3

Overall

61.9GLM-5.3-Flash

58.2Muse Spark 1.3

ACB

61.2GLM-5.3-Flash

55.5Muse Spark 1.3

RWT

8.5GLM-5.3-Flash

7.5Muse Spark 1.3

Terminal-Bench

84.3GLM-5.3-Flash

88.8Muse Spark 1.3

DeepSWE

63.4GLM-5.3-Flash

75.4Muse Spark 1.3

GDPval-AA

1773.0GLM-5.3-Flash

1754.0Muse Spark 1.3

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

Context1M

Muse Spark 1.3

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-5.3-Flash and Muse Spark 1.3 comparisons

Explore how GLM-5.3-Flash and Muse Spark 1.3 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.3-Flash Claude Fable 5.1 vs Muse Spark 1.3 Claude Fable 5 vs GLM-5.3-Flash Claude Fable 5 vs Muse Spark 1.3 GPT-5.6 Sol vs GLM-5.3-Flash GPT-5.6 Sol vs Muse Spark 1.3 Claude Opus 5 vs GLM-5.3-Flash Claude Opus 5 vs Muse Spark 1.3 Grok 4.6 vs GLM-5.3-Flash Grok 4.6 vs Muse Spark 1.3

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.