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

GLM-5.2 (max)vsGPT-5.4 mini (Non-Reasoning)

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
192 tok/s
TTFT
0.90s
OpenAI

GPT-5.4 mini (Non-Reasoning)

Input
$0.75/M
Output
$4.5/M
Speed
160 tok/s
TTFT
0.55s

Winner by Category

Cheaper
GPT-5.4 mini (Non-Reasoning)
Faster (tok/s)
GLM-5.2 (max)
Lower Latency
GPT-5.4 mini (Non-Reasoning)
Benchmarks (7-0)
GLM-5.2 (max)

Pricing Comparison

MetricGLM-5.2 (max)GPT-5.4 mini (Non-Reasoning)
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 (Non-Reasoning)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-5.2 (max)
192 tok/s
GPT-5.4 mini (Non-Reasoning)
160 tok/s
Time to First Token (seconds) — lower is better
GLM-5.2 (max)
0.90s
GPT-5.4 mini (Non-Reasoning)
0.55s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
51.116.6
Coding Index
68.8
Math Index
GPQA Diamond
89.5%60.6%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
40.1%5.7%
SciCode
50.5%39.6%
IFBench
73.3%38.8%
TerminalBench
50.8%18.2%
GLM-5.2 (max)7 wins
0 winsGPT-5.4 mini (Non-Reasoning)

Frequently Asked Questions

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

GPT-5.4 mini (Non-Reasoning) 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 7 out of 12 benchmarks compared to 0 for GPT-5.4 mini (Non-Reasoning). 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 192 tok/s vs 160 tok/s. However, GPT-5.4 mini (Non-Reasoning) has lower time-to-first-token (0.55s vs 0.90s).

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

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