Nemotron Cascade 8B Thinking
NVIDIA · 2025-12-08 · 8.2B parameters
Nemotron Cascade 8B Thinking is NVIDIA's open-weight reasoning-only model post-trained from Qwen3-8B-Base with SFT and sequential, domain-wise reinforcement learning (Cascade RL), released on December 8, 2025. The BF16 checkpoint contains 8,190,735,360 parameters in the Qwen3 dense architecture (36 layers, GQA) with a 32,768-token native context that NVIDIA extends to 64K with YaRN for evaluation.
Benchmark scores
| Benchmark | Score |
|---|---|
| AIME 2024 | 88.8 |
| AIME 2025 | 81.4 |
| BFCL v3 Overall Accuracy | 67.0 |
| Capability | 133.3 |
| GPQA Diamond | 66.7 |
| IFBench - release-reported instruction following | 41.4 |
| IFEval | 83.7 |
| LiveCodeBench - August 2024 to February 2025 | 74.5 |
| LiveCodeBench - August 2024 to May 2025 | 71.4 |
| MMLU | 84.0 |
| MMLU Pro | 75.5 |
| SWE-bench Verified | 38.5 |