AI Model Comparison

GPT-5.6 Sol (low) vs Claude Fable 5

Compare GPT-5.6 Sol (low) vs Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) with benchmark results, speed, pricing, and practical workflow guidance.

Best For GPT-5.6 Sol (low)

  • High-volume production tasks
  • Latency-sensitive applications
  • Cost-optimized workflows

Best For Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)

  • Complex reasoning tasks
  • Advanced software development
  • High-accuracy research projects

GPT-5.6 Sol (low) offers superior speed and lower costs, while Claude Fable 5 delivers higher intelligence and coding performance, making it the more capable choice for complex, high-stakes reasoning tasks despite its slower response times.

Quick Take

OpenAI’s GPT-5.6 Sol (low) and Anthropic’s Claude Fable 5 represent two distinct approaches to frontier AI. Released one month apart in mid-2026, these models cater to different operational needs. GPT-5.6 Sol (low) emphasizes efficiency and speed, whereas Claude Fable 5 focuses on maximizing reasoning intelligence and benchmark performance.

Benchmark Read

Claude Fable 5 consistently outperforms GPT-5.6 Sol (low) across nearly all measured metrics. With an Intelligence index of 59.9 compared to 49.4, and a Coding index of 76.5 versus 69.7, Claude is the more robust engine for technical tasks.

Key benchmark comparisons:

  • GPQA: 0.926 (Claude) vs 0.898 (GPT)
  • HLE: 0.533 (Claude) vs 0.366 (GPT)
  • SciCode: 0.602 (Claude) vs 0.554 (GPT)
  • TAU2: 0.985 (Claude) vs 0.760 (GPT)

While GPT-5.6 Sol (low) maintains a slight lead in IFBench (0.665 vs 0.634), Claude Fable 5 dominates in complex reasoning and technical benchmarks.

Cost and Speed

There is a significant trade-off between performance and latency.

Pricing:

  • GPT-5.6 Sol (low): Blended cost of $11.25/1M tokens.
  • Claude Fable 5: Blended cost of $20.00/1M tokens.

Performance:
GPT-5.6 Sol (low) is significantly faster, producing 87.549 tok/s with a time-to-first-token of 1.934s. In contrast, Claude Fable 5 operates at 60.571 tok/s and suffers from a high time-to-first-token of 54.299s, likely due to its complex Adaptive Reasoning and Max Effort architecture.

Best Fit

GPT-5.6 Sol (low) is ideal for high-frequency applications, real-time chatbots, and cost-sensitive production environments where latency is a critical factor. Claude Fable 5 is best suited for deep research, complex software engineering, and tasks requiring the highest possible reasoning accuracy, where the time-to-first-token delay is acceptable.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric OpenAI GPT-5.6 Sol (low) Anthropic Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
Index Scores
Intelligence Index 49.4 59.9
Coding Index 69.7 76.5
Math Index--
Benchmark Scores
GPQA 89.8 92.6
SciCode 55.4 60.2
IFBench 66.5 63.5
HLE 36.6 53.3
LCR 67.7 70.0
TAU2 76.0 98.5
TerminalBench Hard 60.6 62.9

Verdict

Choose GPT-5.6 Sol (low) if your workflow prioritizes rapid, cost-effective responses and high-volume throughput. However, if your projects demand maximum reasoning depth, superior coding accuracy, or complex problem-solving capabilities, Claude Fable 5 is the objectively stronger model, provided you can accommodate the significantly slower time-to-first-token and higher price point.

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