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

GPT-5.4 mini (Non-Reasoning)vsGLM-5.2 (max)

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

OpenAI

GPT-5.4 mini (Non-Reasoning)

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

GLM-5.2 (max)

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

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 (0-7)
GLM-5.2 (max)

Pricing Comparison

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

Speed Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
16.651.1
Coding Index
68.8
Math Index
GPQA Diamond
60.6%89.5%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
5.7%40.1%
SciCode
39.6%50.5%
IFBench
38.8%73.3%
TerminalBench
18.2%50.8%
GPT-5.4 mini (Non-Reasoning)0 wins
7 winsGLM-5.2 (max)

Frequently Asked Questions

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

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. GPT-5.4 mini (Non-Reasoning) also has lower time-to-first-token (0.55s vs 0.90s).

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

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.