Time to First Token · Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
300ms
Time to First Token · GPT-5.6 Sol (xhigh)
300ms
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh): 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 (xhigh) ShowdownGPT-5.6 Sol (xhigh) leads on 2 of 7 metrics
GPT-5.6 Sol (xhigh) 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 (xhigh)
6.0
Reasoning6.0
8.0
Coding8.0
5.0
Multimodal5.0
7.0
Long Context7.0
$0.020
Blended Price / 1M tokens$0.011
1000ms
P95 Latency1000ms
71
Tokens per second73
GPT-5.6 Sol (xhigh) 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 (xhigh)`.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (xhigh)
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
6060
MMLU Pro4848
AIME8080
LiveCodeBench5454
GSM8KClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (xhigh)
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
70.509
Tokens per Second · GPT-5.6 Sol (xhigh)
73.479
The Economics of Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh)
Pricing Breakdown
Compare input and output pricing at a glance.
$0.01$0.005
Input Pricing$0.05$0.03
Output PricingClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)GPT-5.6 Sol (xhigh)
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)$0.022
GPT-5.6 Sol (xhigh)$0.013
GPT-5.6 Sol (xhigh) costs $0.010 less per run
Which Model Wins the Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh) 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 (xhigh) if...
- Cheaper input ($0.01 vs $0.01)
- Cheaper output ($0.03 vs $0.05)
- Faster output (73 vs 71)
Your Questions about the Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh) Comparison
Is `Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)` a direct replacement for `GPT-5.6 Sol (xhigh)`?
Based on our Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh) 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 (xhigh)'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 (xhigh)` debate?
The benchmark data in our Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh) comparison shows GPT-5.6 Sol (xhigh) 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 (xhigh)` comparison conducted?
Our Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) vs GPT-5.6 Sol (xhigh) comparison uses standardized benchmark data and pricing information directly from the model creators to ensure objectivity and accuracy.