Compare/o4-mini (high) vs GLM-5.1 (Reasoning)

o4-mini (high)vsGLM-5.1 (Reasoning)

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

OpenAI

o4-mini (high)

Input
$1.1/M
Output
$4.4/M
Speed
171 tok/s
TTFT
21.72s
Z AI

GLM-5.1 (Reasoning)

Input
$1.4/M
Output
$4.4/M
Speed
54 tok/s
TTFT
0.86s

Winner by Category

Cheaper
o4-mini (high)
Faster (tok/s)
o4-mini (high)
Lower Latency
GLM-5.1 (Reasoning)
Benchmarks (6-6)
Tie

Pricing Comparison

Metrico4-mini (high)GLM-5.1 (Reasoning)
Input ($/M tokens)$1.1$1.4
Output ($/M tokens)$4.4$4.4
Cost for 1M input + 100K output tokens:
o4-mini (high)$1.54
GLM-5.1 (Reasoning)$1.84

Speed Comparison

Output Speed (tokens/s) — higher is better
o4-mini (high)
171 tok/s
GLM-5.1 (Reasoning)
54 tok/s
Time to First Token (seconds) — lower is better
o4-mini (high)
21.72s
GLM-5.1 (Reasoning)
0.86s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
33.151.4
Coding Index
25.643.4
Math Index
90.7
GPQA Diamond
78.4%86.8%
MMLU-Pro
83.2%
LiveCodeBench
85.9%
AIME 2025
90.7%
MATH-500
98.9%
Humanity's Last Exam
17.5%28.0%
SciCode
46.5%43.8%
IFBench
68.7%76.3%
TerminalBench
15.2%43.2%
o4-mini (high)6 wins
6 winsGLM-5.1 (Reasoning)

Frequently Asked Questions

Which is cheaper, o4-mini (high) or GLM-5.1 (Reasoning)?

o4-mini (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.93/M tokens vs $2.15/M for GLM-5.1 (Reasoning).

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o4-mini (high) generates tokens faster at 171 tok/s vs 54 tok/s. However, GLM-5.1 (Reasoning) has lower time-to-first-token (0.86s vs 21.72s).

When should I use o4-mini (high) vs GLM-5.1 (Reasoning)?

Choose based on your priorities: o4-mini (high) for lower cost, both perform similarly on benchmarks, and o4-mini (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.