Compare/o3-mini vs DeepSeek R1 0528 (May '25)

o3-minivsDeepSeek R1 0528 (May '25)

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
DeepSeek

DeepSeek R1 0528 (May '25)

Input
$1.35/M
Output
$4.2/M
Speed
TTFT

Winner by Category

Cheaper
o3-mini
Faster (tok/s)
o3-mini
Lower Latency
DeepSeek R1 0528 (May '25)
Benchmarks (0-12)
DeepSeek R1 0528 (May '25)

Pricing Comparison

Metrico3-miniDeepSeek R1 0528 (May '25)
Input ($/M tokens)$1.1$1.35
Output ($/M tokens)$4.4$4.2
Cost for 1M input + 100K output tokens:
o3-mini$1.54
DeepSeek R1 0528 (May '25)$1.77

Speed Comparison

Output Speed (tokens/s) — higher is better
o3-mini
167 tok/s
DeepSeek R1 0528 (May '25)
Time to First Token (seconds) — lower is better
o3-mini
6.02s
DeepSeek R1 0528 (May '25)

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
25.927.1
Coding Index
17.924.0
Math Index
76.0
GPQA Diamond
74.8%81.3%
MMLU-Pro
79.1%84.9%
LiveCodeBench
71.7%77.0%
AIME 2025
76.0%
MATH-500
97.3%98.3%
Humanity's Last Exam
8.7%14.9%
SciCode
39.9%40.3%
IFBench
39.6%
TerminalBench
6.8%15.9%
o3-mini0 wins
12 winsDeepSeek R1 0528 (May '25)

Frequently Asked Questions

Which is cheaper, o3-mini or DeepSeek R1 0528 (May '25)?

o3-mini is cheaper overall. Its blended price (3:1 input/output ratio) is $1.93/M tokens vs $2.06/M for DeepSeek R1 0528 (May '25).

Which model performs better on benchmarks?

DeepSeek R1 0528 (May '25) wins 12 out of 12 benchmarks compared to 0 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 0 tok/s. However, DeepSeek R1 0528 (May '25) has lower time-to-first-token (0.00s vs 6.02s).

When should I use o3-mini vs DeepSeek R1 0528 (May '25)?

Choose based on your priorities: o3-mini for lower cost, DeepSeek R1 0528 (May '25) for stronger benchmark performance, and o3-mini for faster generation. For latency-sensitive apps, check the TTFT comparison above.