Compare/o1-pro vs Claude 4.1 Opus (Non-reasoning)

o1-provsClaude 4.1 Opus (Non-reasoning)

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

OpenAI

o1-pro

Input
$150/M
Output
$600/M
Speed
TTFT
Anthropic

Claude 4.1 Opus (Non-reasoning)

Input
$15/M
Output
$75/M
Speed
35 tok/s
TTFT
1.34s

Winner by Category

Cheaper
Claude 4.1 Opus (Non-reasoning)
Faster (tok/s)
Claude 4.1 Opus (Non-reasoning)
Lower Latency
o1-pro
Benchmarks (0-1)
Claude 4.1 Opus (Non-reasoning)

Pricing Comparison

Metrico1-proClaude 4.1 Opus (Non-reasoning)
Input ($/M tokens)$150$15
Output ($/M tokens)$600$75
Cost for 1M input + 100K output tokens:
o1-pro$210.00
Claude 4.1 Opus (Non-reasoning)$22.50

Speed Comparison

Output Speed (tokens/s) — higher is better
o1-pro
Claude 4.1 Opus (Non-reasoning)
35 tok/s
Time to First Token (seconds) — lower is better
o1-pro
Claude 4.1 Opus (Non-reasoning)
1.34s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
25.836.0
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
o1-pro0 wins
1 winsClaude 4.1 Opus (Non-reasoning)

Frequently Asked Questions

Which is cheaper, o1-pro or Claude 4.1 Opus (Non-reasoning)?

Claude 4.1 Opus (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $30.00/M tokens vs $262.50/M for o1-pro.

Which model performs better on benchmarks?

Claude 4.1 Opus (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for o1-pro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Claude 4.1 Opus (Non-reasoning) generates tokens faster at 35 tok/s vs 0 tok/s. o1-pro also has lower time-to-first-token (0.00s vs 1.34s).

When should I use o1-pro vs Claude 4.1 Opus (Non-reasoning)?

Choose based on your priorities: Claude 4.1 Opus (Non-reasoning) for lower cost, Claude 4.1 Opus (Non-reasoning) for stronger benchmark performance, and Claude 4.1 Opus (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.