How do Muse Spark 1.1 and GLM 5.1 Thinking compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Muse Spark 1.1 and GLM 5.1 Thinking when publicly disclosed.

LLM Comparison

Muse Spark 1.1 vs GLM 5.1 Thinking: benchmark scores, pricing & comparison.

Q: Which is better: Muse Spark 1.1 or GLM 5.1 Thinking?

AskClash compares Muse Spark 1.1 and GLM 5.1 Thinking side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Muse Spark 1.1 vs GLM 5.1 Thinking 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 Muse Spark 1.1 model page GLM 5.1 Thinking model page

Rank #12 vs #25AskClash overall scores 67.9 vs 50.5.

Pricing $1.25/$4.25 vs $0/$0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryMeta vs Zhipu AI.

Muse Spark 1.1 vs GLM 5.1 Thinking benchmark comparison

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

Metric	Muse Spark 1.1	GLM 5.1 Thinking
Overall Score	67.9	50.5
Leaderboard Rank	#12	#25
RWT	7.5	—
Coding Agent Index	—	36.1
HLE	62.1	52.3
GPQA	—	86.2
SWE-Pro	61.5	58.4
Terminal-Bench	80.0	63.5
OSWorld	80.8	—
MCP Atlas	88.1	71.8
Finance Agent	57.2	44.8
CharXiv	88.4	—
Tau2	—	97.7
MRCR	54.1	—
Input Price (per 1M tokens)	$1.25	$0
Output Price (per 1M tokens)	$4.25	$0
Context Window	1M	203K
Benchmarks Published	10	9

Muse Spark 1.1 vs GLM 5.1 Thinking head-to-head charts

Muse Spark 1.1 leads 6 and GLM 5.1 Thinking leads 0 of 6 shared benchmarks. GLM 5.1 Thinking is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1GLM 5.1 Thinking

Overall

67.9Muse Spark 1.1

50.5GLM 5.1 Thinking

HLE

62.1Muse Spark 1.1

52.3GLM 5.1 Thinking

SWE-Pro

61.5Muse Spark 1.1

58.4GLM 5.1 Thinking

Terminal-Bench

80.0Muse Spark 1.1

63.5GLM 5.1 Thinking

MCP Atlas

88.1Muse Spark 1.1

71.8GLM 5.1 Thinking

Finance Agent

57.2Muse Spark 1.1

44.8GLM 5.1 Thinking

Muse Spark 1.1

Input$1.25

Output$4.25

Workload$2.10

Context1M

GLM 5.1 Thinking

Input$0

Output$0

Workload$0.00

Context203K

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

More Muse Spark 1.1 and GLM 5.1 Thinking comparisons

Explore how Muse Spark 1.1 and GLM 5.1 Thinking stack up against other top-ranked LLMs.

Claude Opus 5 vs Muse Spark 1.1 Claude Opus 5 vs GLM 5.1 Thinking Claude Fable 5 vs Muse Spark 1.1 Claude Fable 5 vs GLM 5.1 Thinking GPT-5.6 Sol vs Muse Spark 1.1 GPT-5.6 Sol vs GLM 5.1 Thinking Claude Opus 4.8 vs Muse Spark 1.1 Claude Opus 4.8 vs GLM 5.1 Thinking Kimi K3 vs Muse Spark 1.1 Kimi K3 vs GLM 5.1 Thinking

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.