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

GLM-5-TurbovsGPT-5.4 nano (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 nano (Non-Reasoning)

Input
$0.2/M
Output
$1.25/M
Speed
177 tok/s
TTFT
0.47s

Winner by Category

Cheaper
GLM-5-Turbo
Faster (tok/s)
GPT-5.4 nano (Non-Reasoning)
Lower Latency
GLM-5-Turbo
Benchmarks (7-0)
GLM-5-Turbo

Pricing Comparison

MetricGLM-5-TurboGPT-5.4 nano (Non-Reasoning)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
GLM-5-Turbo$0.00
GPT-5.4 nano (Non-Reasoning)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-5-Turbo
GPT-5.4 nano (Non-Reasoning)
177 tok/s
Time to First Token (seconds) — lower is better
GLM-5-Turbo
GPT-5.4 nano (Non-Reasoning)
0.47s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
46.824.4
Coding Index
36.827.9
Math Index
GPQA Diamond
84.7%55.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
25.4%4.2%
SciCode
43.6%35.2%
IFBench
73.2%32.7%
TerminalBench
33.3%24.2%
GLM-5-Turbo7 wins
0 winsGPT-5.4 nano (Non-Reasoning)

Frequently Asked Questions

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

GLM-5-Turbo is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.46/M for GPT-5.4 nano (Non-Reasoning).

Which model performs better on benchmarks?

GLM-5-Turbo wins 7 out of 12 benchmarks compared to 0 for GPT-5.4 nano (Non-Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (Non-Reasoning) generates tokens faster at 177 tok/s vs 0 tok/s. GLM-5-Turbo also has lower time-to-first-token (0.00s vs 0.47s).

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

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