Claude Fable 5.5 (Leaked Checkpoint) vs Perplexity Decider v1.2

A direct, empirical evaluation of Claude Fable 5.5 (Leaked Checkpoint) (Anthropic) against Perplexity Decider v1.2 (Perplexity AI).

Claude Fable 5.5 (Leaked Checkpoint)

Developed by Anthropic · Proprietary Frontier Dynamic Reasoner parameters

Terminal-Bench 4.0 autonomous shell execution (78.5% target), recursive self-critique, and 1.5M-token repository refactoring.

Perplexity Decider v1.2

Developed by Perplexity AI · 27 Billion Parameters parameters

Sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated API dispatcher pipelines.

Metric Claude Fable 5.5 (Leaked Checkpoint) Perplexity Decider v1.2
SWE-bench Verified 84.2% 64.2%
MMLU-Pro 94.6% 88.4%
MATH-500 98.4% 89.1%
Context Window 1,500,000 tokens 64,000 tokens
Input Pricing (per 1M) $3.50 $0.20
Output Pricing (per 1M) $17.50 $0.60

Architectural & Practical Deployment Analysis

Evaluating Claude Fable 5.5 (Leaked Checkpoint) (Anthropic) alongside Perplexity Decider v1.2 (Perplexity AI) highlights key technical trade-offs across neural parameter scale and compute efficiency. Claude Fable 5.5 (Leaked Checkpoint) executes across Proprietary Frontier Dynamic Reasoner total parameters with NeuronCore-v3 Optimized MoE active per token, whereas Perplexity Decider v1.2 operates on 27 Billion Parameters parameters with 27.2B Dedicated Multimodal Decision Engine active per token.

On SWE-bench Verified software engineering tasks, Claude Fable 5.5 (Leaked Checkpoint) achieves 84.2% autonomous resolution rate, compared to 64.2% for Perplexity Decider v1.2. On complex reasoning benchmarks, Claude Fable 5.5 (Leaked Checkpoint) posts 94.6% on MMLU-Pro and 98.4% on MATH-500, against 88.4% and 89.1% respectively for Perplexity Decider v1.2.

From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $77.00 on Claude Fable 5.5 (Leaked Checkpoint) versus $3.20 on Perplexity Decider v1.2.

Recommendation: Deploy Claude Fable 5.5 (Leaked Checkpoint) when your infrastructure prioritizes terminal-bench 4.0 autonomous shell execution (78.5% target), recursive self-critique, and 1.5m-token repository refactoring.. Deploy Perplexity Decider v1.2 when workload requirements favor sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated api dispatcher pipelines..