Compare/o3-mini (high) vs GLM-5.1 (Non-reasoning)

o3-mini (high)vsGLM-5.1 (Non-reasoning)

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

OpenAI

o3-mini (high)

Input
$1.1/M
Output
$4.4/M
Speed
138 tok/s
TTFT
26.90s
Z AI

GLM-5.1 (Non-reasoning)

Input
$1.4/M
Output
$4.4/M
Speed
42 tok/s
TTFT
1.15s

Winner by Category

Cheaper
o3-mini (high)
Faster (tok/s)
o3-mini (high)
Lower Latency
GLM-5.1 (Non-reasoning)
Benchmarks (5-5)
Tie

Pricing Comparison

Metrico3-mini (high)GLM-5.1 (Non-reasoning)
Input ($/M tokens)$1.1$1.4
Output ($/M tokens)$4.4$4.4
Cost for 1M input + 100K output tokens:
o3-mini (high)$1.54
GLM-5.1 (Non-reasoning)$1.84

Speed Comparison

Output Speed (tokens/s) — higher is better
o3-mini (high)
138 tok/s
GLM-5.1 (Non-reasoning)
42 tok/s
Time to First Token (seconds) — lower is better
o3-mini (high)
26.90s
GLM-5.1 (Non-reasoning)
1.15s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
25.243.8
Coding Index
17.335.8
Math Index
GPQA Diamond
77.3%83.9%
MMLU-Pro
80.2%
LiveCodeBench
73.4%
AIME 2025
MATH-500
98.5%
Humanity's Last Exam
12.3%25.6%
SciCode
39.8%36.1%
IFBench
67.1%52.0%
TerminalBench
6.1%35.6%
o3-mini (high)5 wins
5 winsGLM-5.1 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, o3-mini (high) or GLM-5.1 (Non-reasoning)?

o3-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 (Non-reasoning).

Which model performs better on benchmarks?

It's a tie — both models win 5 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o3-mini (high) generates tokens faster at 138 tok/s vs 42 tok/s. However, GLM-5.1 (Non-reasoning) has lower time-to-first-token (1.15s vs 26.90s).

When should I use o3-mini (high) vs GLM-5.1 (Non-reasoning)?

Choose based on your priorities: o3-mini (high) for lower cost, both perform similarly on benchmarks, and o3-mini (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.