Claude Fable 5.5 (Leaked Checkpoint) vs NVIDIA Nemotron Labs Dory 1.0

A direct, empirical evaluation of Claude Fable 5.5 (Leaked Checkpoint) (Anthropic) against NVIDIA Nemotron Labs Dory 1.0 (NVIDIA).

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.

NVIDIA Nemotron Labs Dory 1.0

Developed by NVIDIA · 4 Billion Parameters (Looped Transformer) parameters

Ultra-low VRAM memory residency (4.4 GB FP8), 256k long-context needle retrieval, and recurrent layer depth execution.

Metric Claude Fable 5.5 (Leaked Checkpoint) NVIDIA Nemotron Labs Dory 1.0
SWE-bench Verified 84.2% 66.4%
MMLU-Pro 94.6% 82.8%
MATH-500 98.4% 85.6%
Context Window 1,500,000 tokens 256,000 tokens
Input Pricing (per 1M) $3.50 $0.15
Output Pricing (per 1M) $17.50 $0.45

Architectural & Practical Deployment Analysis

Evaluating Claude Fable 5.5 (Leaked Checkpoint) (Anthropic) alongside NVIDIA Nemotron Labs Dory 1.0 (NVIDIA) 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 NVIDIA Nemotron Labs Dory 1.0 operates on 4 Billion Parameters (Looped Transformer) parameters with 4.1B Active Recurrent Block (Equivalent to 16B Depth) active per token.

On SWE-bench Verified software engineering tasks, Claude Fable 5.5 (Leaked Checkpoint) achieves 84.2% autonomous resolution rate, compared to 66.4% for NVIDIA Nemotron Labs Dory 1.0. On complex reasoning benchmarks, Claude Fable 5.5 (Leaked Checkpoint) posts 94.6% on MMLU-Pro and 98.4% on MATH-500, against 82.8% and 85.6% respectively for NVIDIA Nemotron Labs Dory 1.0.

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 $2.40 on NVIDIA Nemotron Labs Dory 1.0.

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 NVIDIA Nemotron Labs Dory 1.0 when workload requirements favor ultra-low vram memory residency (4.4 gb fp8), 256k long-context needle retrieval, and recurrent layer depth execution..