Compare/Muse Spark 1.1 (xhigh) vs GLM-5.2 (max)

Muse Spark 1.1 (xhigh)vsGLM-5.2 (max)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Meta

Muse Spark 1.1 (xhigh)

Input
$1.25/M
Output
$4.25/M
Speed
136 tok/s
TTFT
0.77s
Z AI

GLM-5.2 (max)

Input
$1.4/M
Output
$4.4/M
Speed
180 tok/s
TTFT
0.90s

Winner by Category

Cheaper
Muse Spark 1.1 (xhigh)
Faster (tok/s)
GLM-5.2 (max)
Lower Latency
Muse Spark 1.1 (xhigh)
Benchmarks (4-3)
Muse Spark 1.1 (xhigh)

Pricing Comparison

MetricMuse Spark 1.1 (xhigh)GLM-5.2 (max)
Input ($/M tokens)$1.25$1.4
Output ($/M tokens)$4.25$4.4
Cost for 1M input + 100K output tokens:
Muse Spark 1.1 (xhigh)$1.68
GLM-5.2 (max)$1.84

Speed Comparison

Output Speed (tokens/s) — higher is better
Muse Spark 1.1 (xhigh)
136 tok/s
GLM-5.2 (max)
180 tok/s
Time to First Token (seconds) — lower is better
Muse Spark 1.1 (xhigh)
0.77s
GLM-5.2 (max)
0.90s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
50.651.1
Coding Index
71.368.8
Math Index
GPQA Diamond
89.8%89.5%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
45.1%40.1%
SciCode
58.2%50.5%
IFBench
73.3%
TerminalBench
50.8%
Muse Spark 1.1 (xhigh)4 wins
3 winsGLM-5.2 (max)

Frequently Asked Questions

Which is cheaper, Muse Spark 1.1 (xhigh) or GLM-5.2 (max)?

Muse Spark 1.1 (xhigh) is cheaper overall. Its blended price (3:1 input/output ratio) is $2.00/M tokens vs $2.15/M for GLM-5.2 (max).

Which model performs better on benchmarks?

Muse Spark 1.1 (xhigh) wins 4 out of 12 benchmarks compared to 3 for GLM-5.2 (max). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-5.2 (max) generates tokens faster at 180 tok/s vs 136 tok/s. Muse Spark 1.1 (xhigh) also has lower time-to-first-token (0.77s vs 0.90s).

When should I use Muse Spark 1.1 (xhigh) vs GLM-5.2 (max)?

Choose based on your priorities: Muse Spark 1.1 (xhigh) for lower cost, Muse Spark 1.1 (xhigh) for stronger benchmark performance, and GLM-5.2 (max) for faster generation. For latency-sensitive apps, check the TTFT comparison above.