Compare/Claude Opus 4.7 (Non-reasoning, High Effort) vs GPT-5.5 (Non-reasoning)

Claude Opus 4.7 (Non-reasoning, High Effort)vsGPT-5.5 (Non-reasoning)

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

Anthropic

Claude Opus 4.7 (Non-reasoning, High Effort)

Input
$6.25/M
Output
$25/M
Speed
42 tok/s
TTFT
1.38s
OpenAI

GPT-5.5 (Non-reasoning)

Input
$5/M
Output
$30/M
Speed
58 tok/s
TTFT
0.96s

Winner by Category

Cheaper
Claude Opus 4.7 (Non-reasoning, High Effort)
Faster (tok/s)
GPT-5.5 (Non-reasoning)
Lower Latency
GPT-5.5 (Non-reasoning)
Benchmarks (6-1)
Claude Opus 4.7 (Non-reasoning, High Effort)

Pricing Comparison

MetricClaude Opus 4.7 (Non-reasoning, High Effort)GPT-5.5 (Non-reasoning)
Input ($/M tokens)$6.25$5
Output ($/M tokens)$25$30
Cost for 1M input + 100K output tokens:
Claude Opus 4.7 (Non-reasoning, High Effort)$8.75
GPT-5.5 (Non-reasoning)$8.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude Opus 4.7 (Non-reasoning, High Effort)
42 tok/s
GPT-5.5 (Non-reasoning)
58 tok/s
Time to First Token (seconds) — lower is better
Claude Opus 4.7 (Non-reasoning, High Effort)
1.38s
GPT-5.5 (Non-reasoning)
0.96s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
51.840.9
Coding Index
53.148.6
Math Index
GPQA Diamond
88.5%76.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
31.2%12.6%
SciCode
50.1%47.3%
IFBench
43.6%46.1%
TerminalBench
54.5%49.2%
Claude Opus 4.7 (Non-reasoning, High Effort)6 wins
1 winsGPT-5.5 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Claude Opus 4.7 (Non-reasoning, High Effort) or GPT-5.5 (Non-reasoning)?

Claude Opus 4.7 (Non-reasoning, High Effort) is cheaper overall. Its blended price (3:1 input/output ratio) is $10.94/M tokens vs $11.25/M for GPT-5.5 (Non-reasoning).

Which model performs better on benchmarks?

Claude Opus 4.7 (Non-reasoning, High Effort) wins 6 out of 12 benchmarks compared to 1 for GPT-5.5 (Non-reasoning). 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 58 tok/s vs 42 tok/s. However, GPT-5.5 (Non-reasoning) has lower time-to-first-token (0.96s vs 1.38s).

When should I use Claude Opus 4.7 (Non-reasoning, High Effort) vs GPT-5.5 (Non-reasoning)?

Choose based on your priorities: Claude Opus 4.7 (Non-reasoning, High Effort) for lower cost, Claude Opus 4.7 (Non-reasoning, High Effort) for stronger benchmark performance, and GPT-5.5 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.