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Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high) ShowdownGPT-5.6 Sol (high) leads on 2 of 7 metrics

GPT-5.6 Sol (high) takes this matchup on raw intelligence and reasoning. Pick Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) when faster response times and cost-efficiency matters more.

Model Snapshot

Key decision metrics at a glance.

Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (high)
6.0
Reasoning
6.0
8.0
Coding
8.0
5.0
Multimodal
5.0
7.0
Long Context
7.0
$0.020
Blended Price / 1M tokens
$0.011
1000ms
P95 Latency
1000ms
71
Tokens per second
74

GPT-5.6 Sol (high) leads on 2 of 7 metrics

Data provided by artificialanalysis.ai

Overall Capabilities

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)` vs `GPT-5.6 Sol (high)`.

IntelligenceCodingMathMultimodalLong Context
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (high)

Benchmark Breakdown

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (high)

Speed & Latency

Lower time to first token is better; higher tokens per second is better.

Time to First Token · Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
300ms
Time to First Token · GPT-5.6 Sol (high)
300ms
Tokens per Second · Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
70.509
Tokens per Second · GPT-5.6 Sol (high)
73.648
Head to the playground to validate these results yourself

The Economics of Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high)

Pricing Breakdown

Compare input and output pricing at a glance.

Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (high)

Real-World Cost Scenario

Per run: 1M input tokens + 250k output tokens

Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)$0.022

GPT-5.6 Sol (high)$0.013

GPT-5.6 Sol (high) costs $0.010 less per run

Review the complete pricing and packaging strategy

Which Model Wins the Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high) Battle for You?

Choose Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) if...

No measurable edge on these metrics

Choose GPT-5.6 Sol (high) if...

  • Cheaper input ($0.01 vs $0.01)
  • Cheaper output ($0.03 vs $0.05)
  • Faster output (74 vs 71)

Your Questions about the Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high) Comparison

Is `Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)` a direct replacement for `GPT-5.6 Sol (high)`?

Based on our Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high) analysis, they serve different niches. Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is positioned as a more powerful option, but GPT-5.6 Sol (high)'s distinct advantages in areas like speed or cost ensure it remains relevant.

For coding, which is better in the `Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high)` debate?

The benchmark data in our Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high) comparison shows GPT-5.6 Sol (high) has a clear advantage, scoring 80 on LiveCodeBench versus 80.

How was this `Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high)` comparison conducted?

Our Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (high) comparison uses standardized benchmark data and pricing information directly from the model creators to ensure objectivity and accuracy.