Compare/Claude 3 Opus vs GPT-5.5 (Non-reasoning)

Claude 3 OpusvsGPT-5.5 (Non-reasoning)

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

Anthropic

Claude 3 Opus

Input
$18.75/M
Output
$75/M
Speed
TTFT
OpenAI

GPT-5.5 (Non-reasoning)

Input
$5/M
Output
$30/M
Speed
54 tok/s
TTFT
0.99s

Winner by Category

Cheaper
GPT-5.5 (Non-reasoning)
Faster (tok/s)
GPT-5.5 (Non-reasoning)
Lower Latency
Claude 3 Opus
Benchmarks (3-7)
GPT-5.5 (Non-reasoning)

Pricing Comparison

MetricClaude 3 OpusGPT-5.5 (Non-reasoning)
Input ($/M tokens)$18.75$5
Output ($/M tokens)$75$30
Cost for 1M input + 100K output tokens:
Claude 3 Opus$26.25
GPT-5.5 (Non-reasoning)$8.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude 3 Opus
GPT-5.5 (Non-reasoning)
54 tok/s
Time to First Token (seconds) — lower is better
Claude 3 Opus
GPT-5.5 (Non-reasoning)
0.99s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.040.9
Coding Index
19.548.6
Math Index
GPQA Diamond
48.9%76.8%
MMLU-Pro
69.6%
LiveCodeBench
27.9%
AIME 2025
MATH-500
64.1%
Humanity's Last Exam
3.1%12.6%
SciCode
23.3%47.3%
IFBench
46.1%
TerminalBench
49.2%
Claude 3 Opus3 wins
7 winsGPT-5.5 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Claude 3 Opus or GPT-5.5 (Non-reasoning)?

GPT-5.5 (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $11.25/M tokens vs $32.81/M for Claude 3 Opus.

Which model performs better on benchmarks?

GPT-5.5 (Non-reasoning) wins 7 out of 12 benchmarks compared to 3 for Claude 3 Opus. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.5 (Non-reasoning) generates tokens faster at 54 tok/s vs 0 tok/s. Claude 3 Opus also has lower time-to-first-token (0.00s vs 0.99s).

When should I use Claude 3 Opus vs GPT-5.5 (Non-reasoning)?

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