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

o3-minivsGLM-5.1 (Non-reasoning)

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

OpenAI

o3-mini

Input
$1.1/M
Output
$4.4/M
Speed
167 tok/s
TTFT
6.02s
Z AI

GLM-5.1 (Non-reasoning)

Input
$1.4/M
Output
$4.4/M
Speed
46 tok/s
TTFT
1.03s

Winner by Category

Cheaper
o3-mini
Faster (tok/s)
o3-mini
Lower Latency
GLM-5.1 (Non-reasoning)
Benchmarks (4-6)
GLM-5.1 (Non-reasoning)

Pricing Comparison

Metrico3-miniGLM-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$1.54
GLM-5.1 (Non-reasoning)$1.84

Speed Comparison

Output Speed (tokens/s) — higher is better
o3-mini
167 tok/s
GLM-5.1 (Non-reasoning)
46 tok/s
Time to First Token (seconds) — lower is better
o3-mini
6.02s
GLM-5.1 (Non-reasoning)
1.03s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
25.943.8
Coding Index
17.935.8
Math Index
GPQA Diamond
74.8%83.9%
MMLU-Pro
79.1%
LiveCodeBench
71.7%
AIME 2025
MATH-500
97.3%
Humanity's Last Exam
8.7%25.6%
SciCode
39.9%36.1%
IFBench
52.0%
TerminalBench
6.8%35.6%
o3-mini4 wins
6 winsGLM-5.1 (Non-reasoning)

Frequently Asked Questions

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

o3-mini 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?

GLM-5.1 (Non-reasoning) wins 6 out of 12 benchmarks compared to 4 for o3-mini. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o3-mini generates tokens faster at 167 tok/s vs 46 tok/s. However, GLM-5.1 (Non-reasoning) has lower time-to-first-token (1.03s vs 6.02s).

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

Choose based on your priorities: o3-mini for lower cost, GLM-5.1 (Non-reasoning) for stronger benchmark performance, and o3-mini for faster generation. For latency-sensitive apps, check the TTFT comparison above.