Compare/Claude Opus 4.7 (Adaptive Reasoning, Max Effort) vs GPT-5.4 mini (xhigh)

Claude Opus 4.7 (Adaptive Reasoning, Max Effort)vsGPT-5.4 mini (xhigh)

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

Anthropic

Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.4 mini (xhigh)

Input
$0.75/M
Output
$4.5/M
Speed
155 tok/s
TTFT
4.45s

Winner by Category

Cheaper
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Faster (tok/s)
GPT-5.4 mini (xhigh)
Lower Latency
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Benchmarks (2-5)
GPT-5.4 mini (xhigh)

Pricing Comparison

MetricClaude Opus 4.7 (Adaptive Reasoning, Max Effort)GPT-5.4 mini (xhigh)
Input ($/M tokens)$0$0.75
Output ($/M tokens)$0$4.5
Cost for 1M input + 100K output tokens:
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)$0.00
GPT-5.4 mini (xhigh)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
GPT-5.4 mini (xhigh)
155 tok/s
Time to First Token (seconds) — lower is better
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
GPT-5.4 mini (xhigh)
4.45s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
48.9
Coding Index
52.551.5
Math Index
GPQA Diamond
87.5%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
26.6%
SciCode
54.5%49.9%
IFBench
73.3%
TerminalBench
51.5%52.3%
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)2 wins
5 winsGPT-5.4 mini (xhigh)

Frequently Asked Questions

Which is cheaper, Claude Opus 4.7 (Adaptive Reasoning, Max Effort) or GPT-5.4 mini (xhigh)?

Claude Opus 4.7 (Adaptive Reasoning, Max Effort) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $1.69/M for GPT-5.4 mini (xhigh).

Which model performs better on benchmarks?

GPT-5.4 mini (xhigh) wins 5 out of 12 benchmarks compared to 2 for Claude Opus 4.7 (Adaptive Reasoning, Max Effort). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (xhigh) generates tokens faster at 155 tok/s vs 0 tok/s. Claude Opus 4.7 (Adaptive Reasoning, Max Effort) also has lower time-to-first-token (0.00s vs 4.45s).

When should I use Claude Opus 4.7 (Adaptive Reasoning, Max Effort) vs GPT-5.4 mini (xhigh)?

Choose based on your priorities: Claude Opus 4.7 (Adaptive Reasoning, Max Effort) for lower cost, GPT-5.4 mini (xhigh) for stronger benchmark performance, and GPT-5.4 mini (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.