Nemotron Cascade 14B Thinking
NVIDIA · 2025-12-08 · 14.8B parameters
Nemotron Cascade 14B Thinking is NVIDIA's open-weight reasoning-only model post-trained from Qwen3-14B-Base with SFT and sequential, domain-wise reinforcement learning (Cascade RL), released on December 8, 2025. The BF16 checkpoint contains 14,768,307,200 parameters in the Qwen3 dense architecture (40 layers, GQA) with a 32,768-token native context that NVIDIA extends with YaRN to 64K (90K for SWE-bench Verified) for evaluation.
Benchmark scores
| Benchmark | Score |
|---|---|
| AIME 2024 | 89.7 |
| AIME 2025 | 83.3 |
| BFCL v3 Overall Accuracy | 67.5 |
| Capability | 134.9 |
| GPQA Diamond | 69.6 |
| IFBench - release-reported instruction following | 41.7 |
| IFEval | 81.9 |
| LiveCodeBench - August 2024 to February 2025 | 77.5 |
| LiveCodeBench - August 2024 to May 2025 | 74.6 |
| MMLU | 85.1 |
| MMLU Pro | 77.0 |
| SWE-bench Verified | 43.1 |