LLM Comparison

GLM-5.3 vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3 vs Muse Spark 1.2 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.

Rank #3 vs #14AskClash overall scores 80.4 vs 66.8.
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-5.3 vs Muse Spark 1.2 benchmark comparison

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

MetricGLM-5.3Muse Spark 1.2
Overall Score80.466.8
Leaderboard Rank#3#14
ACB62.254.8
RWT8.57.5
HLE62.562.1
GPQA91.7
SWE-Pro61.5
Terminal-Bench88.280.0
DeepSWE66.959.0
OSWorld80.8
MCP Atlas82.2
Finance Agent57.2
CharXiv88.4
MRCR54.1
Input Price (per 1M tokens)$1.40$1.25
Output Price (per 1M tokens)$4.40$4.25
Context Window1M1M
Benchmarks Published712

GLM-5.3 vs Muse Spark 1.2 head-to-head charts

GLM-5.3 leads 6 and Muse Spark 1.2 leads 0 of 6 shared benchmarks. Muse Spark 1.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3Muse Spark 1.2
Overall
80.4GLM-5.3
66.8Muse Spark 1.2
ACB
62.2GLM-5.3
54.8Muse Spark 1.2
RWT
8.5GLM-5.3
7.5Muse Spark 1.2
HLE
62.5GLM-5.3
62.1Muse Spark 1.2
Terminal-Bench
88.2GLM-5.3
80.0Muse Spark 1.2
DeepSWE
66.9GLM-5.3
59.0Muse Spark 1.2
GLM-5.3
Input$1.40
Output$4.40
Workload$2.28
Context1M
Muse Spark 1.2
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 and Muse Spark 1.2 comparisons

Explore how GLM-5.3 and Muse Spark 1.2 stack up against other top-ranked LLMs.

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.