Compare/GLM-5.2 (max) vs GPT-5.4 mini (xhigh)

GLM-5.2 (max)vsGPT-5.4 mini (xhigh)

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

Z AI

GLM-5.2 (max)

Input
$1.4/M
Output
$4.4/M
Speed
112 tok/s
TTFT
2.13s
OpenAI

GPT-5.4 mini (xhigh)

Input
$0.75/M
Output
$4.5/M
Speed
173 tok/s
TTFT
6.30s

Winner by Category

Cheaper
GPT-5.4 mini (xhigh)
Faster (tok/s)
GPT-5.4 mini (xhigh)
Lower Latency
GLM-5.2 (max)
Benchmarks (4-2)
GLM-5.2 (max)

Pricing Comparison

MetricGLM-5.2 (max)GPT-5.4 mini (xhigh)
Input ($/M tokens)$1.4$0.75
Output ($/M tokens)$4.4$4.5
Cost for 1M input + 100K output tokens:
GLM-5.2 (max)$1.84
GPT-5.4 mini (xhigh)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-5.2 (max)
112 tok/s
GPT-5.4 mini (xhigh)
173 tok/s
Time to First Token (seconds) — lower is better
GLM-5.2 (max)
2.13s
GPT-5.4 mini (xhigh)
6.30s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
50.740.0
Coding Index
50.751.5
Math Index
GPQA Diamond
89.5%87.5%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
40.1%26.6%
SciCode
50.5%49.9%
IFBench
73.3%73.3%
TerminalBench
50.8%52.3%
GLM-5.2 (max)4 wins
2 winsGPT-5.4 mini (xhigh)

Frequently Asked Questions

Which is cheaper, GLM-5.2 (max) or GPT-5.4 mini (xhigh)?

GPT-5.4 mini (xhigh) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.69/M tokens vs $2.15/M for GLM-5.2 (max).

Which model performs better on benchmarks?

GLM-5.2 (max) wins 4 out of 12 benchmarks compared to 2 for GPT-5.4 mini (xhigh). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (xhigh) generates tokens faster at 173 tok/s vs 112 tok/s. GLM-5.2 (max) also has lower time-to-first-token (2.13s vs 6.30s).

When should I use GLM-5.2 (max) vs GPT-5.4 mini (xhigh)?

Choose based on your priorities: GPT-5.4 mini (xhigh) for lower cost, GLM-5.2 (max) for stronger benchmark performance, and GPT-5.4 mini (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.