Compare/GLM-5-Turbo vs GPT-5.4 (Non-reasoning)

GLM-5-TurbovsGPT-5.4 (Non-reasoning)

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

Z AI

GLM-5-Turbo

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.4 (Non-reasoning)

Input
$2.5/M
Output
$15/M
Speed
61 tok/s
TTFT
0.65s

Winner by Category

Cheaper
GLM-5-Turbo
Faster (tok/s)
GPT-5.4 (Non-reasoning)
Lower Latency
GLM-5-Turbo
Benchmarks (4-3)
GLM-5-Turbo

Pricing Comparison

MetricGLM-5-TurboGPT-5.4 (Non-reasoning)
Input ($/M tokens)$0$2.5
Output ($/M tokens)$0$15
Cost for 1M input + 100K output tokens:
GLM-5-Turbo$0.00
GPT-5.4 (Non-reasoning)$4.00

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-5-Turbo
GPT-5.4 (Non-reasoning)
61 tok/s
Time to First Token (seconds) — lower is better
GLM-5-Turbo
GPT-5.4 (Non-reasoning)
0.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
46.835.4
Coding Index
36.841.0
Math Index
GPQA Diamond
84.7%74.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
25.4%10.6%
SciCode
43.6%47.1%
IFBench
73.2%48.4%
TerminalBench
33.3%37.9%
GLM-5-Turbo4 wins
3 winsGPT-5.4 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, GLM-5-Turbo or GPT-5.4 (Non-reasoning)?

GLM-5-Turbo is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $5.63/M for GPT-5.4 (Non-reasoning).

Which model performs better on benchmarks?

GLM-5-Turbo wins 4 out of 12 benchmarks compared to 3 for GPT-5.4 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 (Non-reasoning) generates tokens faster at 61 tok/s vs 0 tok/s. GLM-5-Turbo also has lower time-to-first-token (0.00s vs 0.65s).

When should I use GLM-5-Turbo vs GPT-5.4 (Non-reasoning)?

Choose based on your priorities: GLM-5-Turbo for lower cost, GLM-5-Turbo for stronger benchmark performance, and GPT-5.4 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.