Compare/o1-preview vs Claude 4.1 Opus (Reasoning)

o1-previewvsClaude 4.1 Opus (Reasoning)

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

OpenAI

o1-preview

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

Claude 4.1 Opus (Reasoning)

Input
$15/M
Output
$75/M
Speed
40 tok/s
TTFT
9.31s

Winner by Category

Cheaper
o1-preview
Faster (tok/s)
Claude 4.1 Opus (Reasoning)
Lower Latency
o1-preview
Benchmarks (1-11)
Claude 4.1 Opus (Reasoning)

Pricing Comparison

Metrico1-previewClaude 4.1 Opus (Reasoning)
Input ($/M tokens)$16.5$15
Output ($/M tokens)$66$75
Cost for 1M input + 100K output tokens:
o1-preview$23.10
Claude 4.1 Opus (Reasoning)$22.50

Speed Comparison

Output Speed (tokens/s) — higher is better
o1-preview
Claude 4.1 Opus (Reasoning)
40 tok/s
Time to First Token (seconds) — lower is better
o1-preview
Claude 4.1 Opus (Reasoning)
9.31s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.742.0
Coding Index
34.036.5
Math Index
80.3
GPQA Diamond
80.9%
MMLU-Pro
88.0%
LiveCodeBench
65.4%
AIME 2025
80.3%
MATH-500
92.4%
Humanity's Last Exam
11.9%
SciCode
40.9%
IFBench
55.4%
TerminalBench
34.3%
o1-preview1 wins
11 winsClaude 4.1 Opus (Reasoning)

Frequently Asked Questions

Which is cheaper, o1-preview or Claude 4.1 Opus (Reasoning)?

o1-preview is cheaper overall. Its blended price (3:1 input/output ratio) is $28.88/M tokens vs $30.00/M for Claude 4.1 Opus (Reasoning).

Which model performs better on benchmarks?

Claude 4.1 Opus (Reasoning) wins 11 out of 12 benchmarks compared to 1 for o1-preview. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Claude 4.1 Opus (Reasoning) generates tokens faster at 40 tok/s vs 0 tok/s. o1-preview also has lower time-to-first-token (0.00s vs 9.31s).

When should I use o1-preview vs Claude 4.1 Opus (Reasoning)?

Choose based on your priorities: o1-preview for lower cost, Claude 4.1 Opus (Reasoning) for stronger benchmark performance, and Claude 4.1 Opus (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.