Model Comparison
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 7 benchmarks · Anthropic, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)10 metric winsStrongest on: Value, Input price, Output price
Best Value
GPT-5.6 Sol (max)
100.0 value score
66.7 reasoning / $11.25/1M
Lowest Price
GPT-5.6 Sol (max)
$5.00/1M input price
Best Reasoning
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
68.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
GPT-5.6 Sol (max) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5.6 Sol (max) is 2.0x cheaper on input tokens than Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback).
Speed gap
GPT-5.6 Sol (max) generates about 1.1x as many tokens per second as Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback).
Reasoning gap
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) leads GPT-5.6 Sol (max) by 1.9 points on reasoning.
Coding gap
GPT-5.6 Sol (max) leads Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) by 0.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
Anthropic
TTFT
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Time
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tok/s
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Tokens
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Cost
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GPT-5.6 Sol (max)
OpenAI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | An Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $10.00/1M | $5.00/1M |
| Output Cost | $50.00/1M | $30.00/1M |
| Blended (3:1) | $20.00/1M | $11.25/1M |
| Specifications | ||
| Organization | Anthropic | OpenAI |
| Release Date | Jun 9, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 64.6 tok/s | 73.2 tok/s |
| TTFT | 73540ms | 74846ms |
| Latency | 73540ms | 74846ms |
| Composite Indices | ||
| Value Score | 57.8 | 100.0 |
| Reasoning Score | 68.6 | 66.7 |
| Intelligence | 59.9 | 58.9 |
| Coding | 76.5 | 77.4 |
| Standard Benchmarks | ||
| GPQA | 92.6% | 94.1% |
| HLE | 53.3% | 47.2% |
| SciCode | 60.2% | 56.1% |
| LCR | 70.0% | 73.7% |
| IFBench | 63.5% | 72.7% |
| TAU-bench v2 | 98.5% | 85.1% |
| TerminalBench Hard | 62.9% | 65.9% |
Key Takeaways
GPT-5.6 Sol (max) offers the best value at $5.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) has the strongest reasoning profile with a 68.6 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
- Complex reasoning tasks
- Research & analysis
GPT-5.6 Sol (max)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
