Compare/o3-pro vs Claude 4 Opus (Non-reasoning)

o3-provsClaude 4 Opus (Non-reasoning)

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

OpenAI

o3-pro

Input
$20/M
Output
$80/M
Speed
34 tok/s
TTFT
59.94s
Anthropic

Claude 4 Opus (Non-reasoning)

Input
$15/M
Output
$75/M
Speed
TTFT

Winner by Category

Cheaper
Claude 4 Opus (Non-reasoning)
Faster (tok/s)
o3-pro
Lower Latency
Claude 4 Opus (Non-reasoning)
Benchmarks (2-8)
Claude 4 Opus (Non-reasoning)

Pricing Comparison

Metrico3-proClaude 4 Opus (Non-reasoning)
Input ($/M tokens)$20$15
Output ($/M tokens)$80$75
Cost for 1M input + 100K output tokens:
o3-pro$28.00
Claude 4 Opus (Non-reasoning)$22.50

Speed Comparison

Output Speed (tokens/s) — higher is better
o3-pro
34 tok/s
Claude 4 Opus (Non-reasoning)
Time to First Token (seconds) — lower is better
o3-pro
59.94s
Claude 4 Opus (Non-reasoning)

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
32.525.5
Coding Index
Math Index
36.3
GPQA Diamond
84.5%70.1%
MMLU-Pro
86.0%
LiveCodeBench
54.2%
AIME 2025
36.3%
MATH-500
94.1%
Humanity's Last Exam
5.9%
SciCode
40.9%
IFBench
43.3%
TerminalBench
o3-pro2 wins
8 winsClaude 4 Opus (Non-reasoning)

Frequently Asked Questions

Which is cheaper, o3-pro or Claude 4 Opus (Non-reasoning)?

Claude 4 Opus (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $30.00/M tokens vs $35.00/M for o3-pro.

Which model performs better on benchmarks?

Claude 4 Opus (Non-reasoning) wins 8 out of 12 benchmarks compared to 2 for o3-pro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o3-pro generates tokens faster at 34 tok/s vs 0 tok/s. However, Claude 4 Opus (Non-reasoning) has lower time-to-first-token (0.00s vs 59.94s).

When should I use o3-pro vs Claude 4 Opus (Non-reasoning)?

Choose based on your priorities: Claude 4 Opus (Non-reasoning) for lower cost, Claude 4 Opus (Non-reasoning) for stronger benchmark performance, and o3-pro for faster generation. For latency-sensitive apps, check the TTFT comparison above.