Compare/Claude 4.1 Opus (Reasoning) vs GPT-4

Claude 4.1 Opus (Reasoning)vsGPT-4

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

Anthropic

Claude 4.1 Opus (Reasoning)

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

GPT-4

Input
$30/M
Output
$60/M
Speed
38 tok/s
TTFT
0.82s

Winner by Category

Cheaper
Claude 4.1 Opus (Reasoning)
Faster (tok/s)
Claude 4.1 Opus (Reasoning)
Lower Latency
GPT-4
Benchmarks (11-0)
Claude 4.1 Opus (Reasoning)

Pricing Comparison

MetricClaude 4.1 Opus (Reasoning)GPT-4
Input ($/M tokens)$15$30
Output ($/M tokens)$75$60
Cost for 1M input + 100K output tokens:
Claude 4.1 Opus (Reasoning)$22.50
GPT-4$36.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude 4.1 Opus (Reasoning)
40 tok/s
GPT-4
38 tok/s
Time to First Token (seconds) — lower is better
Claude 4.1 Opus (Reasoning)
9.31s
GPT-4
0.82s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
42.012.8
Coding Index
36.513.1
Math Index
80.3
GPQA Diamond
80.9%
MMLU-Pro
88.0%
LiveCodeBench
65.4%
AIME 2025
80.3%
MATH-500
Humanity's Last Exam
11.9%
SciCode
40.9%
IFBench
55.4%
TerminalBench
34.3%
Claude 4.1 Opus (Reasoning)11 wins
0 winsGPT-4

Frequently Asked Questions

Which is cheaper, Claude 4.1 Opus (Reasoning) or GPT-4?

Claude 4.1 Opus (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $30.00/M tokens vs $37.50/M for GPT-4.

Which model performs better on benchmarks?

Claude 4.1 Opus (Reasoning) wins 11 out of 12 benchmarks compared to 0 for GPT-4. 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 38 tok/s. However, GPT-4 has lower time-to-first-token (0.82s vs 9.31s).

When should I use Claude 4.1 Opus (Reasoning) vs GPT-4?

Choose based on your priorities: Claude 4.1 Opus (Reasoning) 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.