Compare/Claude 4 Opus (Reasoning) vs o1-preview

Claude 4 Opus (Reasoning)vso1-preview

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

Anthropic

Claude 4 Opus (Reasoning)

Input
$15/M
Output
$75/M
Speed
40 tok/s
TTFT
6.36s
OpenAI

o1-preview

Input
$16.5/M
Output
$66/M
Speed
TTFT

Winner by Category

Cheaper
o1-preview
Faster (tok/s)
Claude 4 Opus (Reasoning)
Lower Latency
o1-preview
Benchmarks (11-0)
Claude 4 Opus (Reasoning)

Pricing Comparison

MetricClaude 4 Opus (Reasoning)o1-preview
Input ($/M tokens)$15$16.5
Output ($/M tokens)$75$66
Cost for 1M input + 100K output tokens:
Claude 4 Opus (Reasoning)$22.50
o1-preview$23.10

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude 4 Opus (Reasoning)
40 tok/s
o1-preview
Time to First Token (seconds) — lower is better
Claude 4 Opus (Reasoning)
6.36s
o1-preview

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
39.023.7
Coding Index
34.034.0
Math Index
73.3
GPQA Diamond
79.6%
MMLU-Pro
87.3%
LiveCodeBench
63.6%
AIME 2025
73.3%
MATH-500
98.2%92.4%
Humanity's Last Exam
11.7%
SciCode
39.8%
IFBench
53.7%
TerminalBench
31.1%
Claude 4 Opus (Reasoning)11 wins
0 winso1-preview

Frequently Asked Questions

Which is cheaper, Claude 4 Opus (Reasoning) or o1-preview?

o1-preview is cheaper overall. Its blended price (3:1 input/output ratio) is $28.88/M tokens vs $30.00/M for Claude 4 Opus (Reasoning).

Which model performs better on benchmarks?

Claude 4 Opus (Reasoning) wins 11 out of 12 benchmarks compared to 0 for o1-preview. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Claude 4 Opus (Reasoning) generates tokens faster at 40 tok/s vs 0 tok/s. However, o1-preview has lower time-to-first-token (0.00s vs 6.36s).

When should I use Claude 4 Opus (Reasoning) vs o1-preview?

Choose based on your priorities: o1-preview for lower cost, Claude 4 Opus (Reasoning) for stronger benchmark performance, and Claude 4 Opus (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.