Compare/Claude 4 Opus (Non-reasoning) vs GPT-5.5 (xhigh)

Claude 4 Opus (Non-reasoning)vsGPT-5.5 (xhigh)

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

Anthropic

Claude 4 Opus (Non-reasoning)

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

GPT-5.5 (xhigh)

Input
$5/M
Output
$30/M
Speed
70 tok/s
TTFT
45.20s

Winner by Category

Cheaper
GPT-5.5 (xhigh)
Faster (tok/s)
GPT-5.5 (xhigh)
Lower Latency
Claude 4 Opus (Non-reasoning)
Benchmarks (5-7)
GPT-5.5 (xhigh)

Pricing Comparison

MetricClaude 4 Opus (Non-reasoning)GPT-5.5 (xhigh)
Input ($/M tokens)$15$5
Output ($/M tokens)$75$30
Cost for 1M input + 100K output tokens:
Claude 4 Opus (Non-reasoning)$22.50
GPT-5.5 (xhigh)$8.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude 4 Opus (Non-reasoning)
GPT-5.5 (xhigh)
70 tok/s
Time to First Token (seconds) — lower is better
Claude 4 Opus (Non-reasoning)
GPT-5.5 (xhigh)
45.20s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
25.554.8
Coding Index
74.9
Math Index
36.3
GPQA Diamond
70.1%93.5%
MMLU-Pro
86.0%
LiveCodeBench
54.2%
AIME 2025
36.3%
MATH-500
94.1%
Humanity's Last Exam
5.9%44.3%
SciCode
40.9%56.1%
IFBench
43.3%75.9%
TerminalBench
60.6%
Claude 4 Opus (Non-reasoning)5 wins
7 winsGPT-5.5 (xhigh)

Frequently Asked Questions

Which is cheaper, Claude 4 Opus (Non-reasoning) or GPT-5.5 (xhigh)?

GPT-5.5 (xhigh) is cheaper overall. Its blended price (3:1 input/output ratio) is $11.25/M tokens vs $30.00/M for Claude 4 Opus (Non-reasoning).

Which model performs better on benchmarks?

GPT-5.5 (xhigh) wins 7 out of 12 benchmarks compared to 5 for Claude 4 Opus (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.5 (xhigh) generates tokens faster at 70 tok/s vs 0 tok/s. Claude 4 Opus (Non-reasoning) also has lower time-to-first-token (0.00s vs 45.20s).

When should I use Claude 4 Opus (Non-reasoning) vs GPT-5.5 (xhigh)?

Choose based on your priorities: GPT-5.5 (xhigh) for lower cost, GPT-5.5 (xhigh) for stronger benchmark performance, and GPT-5.5 (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.