Compare/GPT-5.6 Sol (low) vs Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

GPT-5.6 Sol (low)vsClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

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

OpenAI

GPT-5.6 Sol (low)

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

Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

Input
$5/M
Output
$25/M
Speed
54 tok/s
TTFT
17.97s

Winner by Category

Cheaper
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Faster (tok/s)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Lower Latency
GPT-5.6 Sol (low)
Benchmarks (3-4)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

Pricing Comparison

MetricGPT-5.6 Sol (low)Claude Opus 4.7 (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 (low)$8.00
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)$7.50

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-5.6 Sol (low)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
54 tok/s
Time to First Token (seconds) — lower is better
GPT-5.6 Sol (low)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
17.97s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
49.453.5
Coding Index
69.773.6
Math Index
GPQA Diamond
89.8%91.4%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
36.6%39.6%
SciCode
55.4%54.5%
IFBench
66.5%58.6%
TerminalBench
60.6%51.5%
GPT-5.6 Sol (low)3 wins
4 winsClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

Frequently Asked Questions

Which is cheaper, GPT-5.6 Sol (low) or Claude Opus 4.7 (Adaptive Reasoning, Max Effort)?

Claude Opus 4.7 (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 (low).

Which model performs better on benchmarks?

Claude Opus 4.7 (Adaptive Reasoning, Max Effort) wins 4 out of 12 benchmarks compared to 3 for GPT-5.6 Sol (low). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Claude Opus 4.7 (Adaptive Reasoning, Max Effort) generates tokens faster at 54 tok/s vs 0 tok/s. GPT-5.6 Sol (low) also has lower time-to-first-token (0.00s vs 17.97s).

When should I use GPT-5.6 Sol (low) vs Claude Opus 4.7 (Adaptive Reasoning, Max Effort)?

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