Compare/GLM-5.2 (Non-reasoning) vs GPT-5.6 Luna (high)

GLM-5.2 (Non-reasoning)vsGPT-5.6 Luna (high)

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

Z AI

GLM-5.2 (Non-reasoning)

Input
$2.09/M
Output
$6.38/M
Speed
121 tok/s
TTFT
1.09s
OpenAI

GPT-5.6 Luna (high)

Input
$1/M
Output
$6/M
Speed
214 tok/s
TTFT
4.96s

Winner by Category

Cheaper
GPT-5.6 Luna (high)
Faster (tok/s)
GPT-5.6 Luna (high)
Lower Latency
GLM-5.2 (Non-reasoning)
Benchmarks (0-5)
GPT-5.6 Luna (high)

Pricing Comparison

MetricGLM-5.2 (Non-reasoning)GPT-5.6 Luna (high)
Input ($/M tokens)$2.09$1
Output ($/M tokens)$6.38$6
Cost for 1M input + 100K output tokens:
GLM-5.2 (Non-reasoning)$2.73
GPT-5.6 Luna (high)$1.60

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-5.2 (Non-reasoning)
121 tok/s
GPT-5.6 Luna (high)
214 tok/s
Time to First Token (seconds) — lower is better
GLM-5.2 (Non-reasoning)
1.09s
GPT-5.6 Luna (high)
4.96s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
34.146.1
Coding Index
46.563.3
Math Index
GPQA Diamond
68.6%89.2%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
8.4%31.6%
SciCode
36.1%50.7%
IFBench
TerminalBench
GLM-5.2 (Non-reasoning)0 wins
5 winsGPT-5.6 Luna (high)

Frequently Asked Questions

Which is cheaper, GLM-5.2 (Non-reasoning) or GPT-5.6 Luna (high)?

GPT-5.6 Luna (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $2.25/M tokens vs $3.16/M for GLM-5.2 (Non-reasoning).

Which model performs better on benchmarks?

GPT-5.6 Luna (high) wins 5 out of 12 benchmarks compared to 0 for GLM-5.2 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.6 Luna (high) generates tokens faster at 214 tok/s vs 121 tok/s. GLM-5.2 (Non-reasoning) also has lower time-to-first-token (1.09s vs 4.96s).

When should I use GLM-5.2 (Non-reasoning) vs GPT-5.6 Luna (high)?

Choose based on your priorities: GPT-5.6 Luna (high) for lower cost, GPT-5.6 Luna (high) for stronger benchmark performance, and GPT-5.6 Luna (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.