Compare/GPT-5.6 Sol (xhigh) vs Claude Opus 4.8 (Adaptive Reasoning, Max Effort)

GPT-5.6 Sol (xhigh)vsClaude Opus 4.8 (Adaptive Reasoning, Max Effort)

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

OpenAI

GPT-5.6 Sol (xhigh)

Input
$5/M
Output
$30/M
Speed
TTFT
Anthropic

Claude Opus 4.8 (Adaptive Reasoning, Max Effort)

Input
$5/M
Output
$25/M
Speed
56 tok/s
TTFT
25.01s

Winner by Category

Cheaper
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
Faster (tok/s)
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
Lower Latency
GPT-5.6 Sol (xhigh)
Benchmarks (6-1)
GPT-5.6 Sol (xhigh)

Pricing Comparison

MetricGPT-5.6 Sol (xhigh)Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
Input ($/M tokens)$5$5
Output ($/M tokens)$30$25
Cost for 1M input + 100K output tokens:
GPT-5.6 Sol (xhigh)$8.00
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)$7.50

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-5.6 Sol (xhigh)
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
56 tok/s
Time to First Token (seconds) — lower is better
GPT-5.6 Sol (xhigh)
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
25.01s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
57.755.7
Coding Index
78.374.3
Math Index
GPQA Diamond
93.1%92.0%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
44.7%45.7%
SciCode
56.0%53.5%
IFBench
71.0%62.2%
TerminalBench
61.4%58.3%
GPT-5.6 Sol (xhigh)6 wins
1 winsClaude Opus 4.8 (Adaptive Reasoning, Max Effort)

Frequently Asked Questions

Which is cheaper, GPT-5.6 Sol (xhigh) or Claude Opus 4.8 (Adaptive Reasoning, Max Effort)?

Claude Opus 4.8 (Adaptive Reasoning, Max Effort) is cheaper overall. Its blended price (3:1 input/output ratio) is $10.00/M tokens vs $11.25/M for GPT-5.6 Sol (xhigh).

Which model performs better on benchmarks?

GPT-5.6 Sol (xhigh) wins 6 out of 12 benchmarks compared to 1 for Claude Opus 4.8 (Adaptive Reasoning, Max Effort). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Claude Opus 4.8 (Adaptive Reasoning, Max Effort) generates tokens faster at 56 tok/s vs 0 tok/s. GPT-5.6 Sol (xhigh) also has lower time-to-first-token (0.00s vs 25.01s).

When should I use GPT-5.6 Sol (xhigh) vs Claude Opus 4.8 (Adaptive Reasoning, Max Effort)?

Choose based on your priorities: Claude Opus 4.8 (Adaptive Reasoning, Max Effort) for lower cost, GPT-5.6 Sol (xhigh) for stronger benchmark performance, and Claude Opus 4.8 (Adaptive Reasoning, Max Effort) for faster generation. For latency-sensitive apps, check the TTFT comparison above.