@kimmonismus· @kimmonismus · X·· 2026-06-04精选AI 评分69
AI 导读
Artificial Analysis 发布了对 NVIDIA Nemotron 3 Ultra 的评测,其智能指数为 47.7,领先 Gemma 4 31B 的 39.2、Nemotron 3 Super 的 36.0 和 gpt-oss-120b 的 33.3,但低于 Kimi K2.6 的 53.9。该模型约 5500 亿总参数、550 亿激活参数,评测使用 NVIDIA 推荐的 NVFP4 权重,比 BF16 测试小幅下降(48.2 对 47.7)。它在 BlackBox AI 上以每秒超 400 output tokens 的速度提供,略快于 gpt-oss-120b,但体量超过后者 4 倍以上。
推荐理由
Artificial Analysis 的评测让读者能横向比较 Nemotron 3 Ultra 与美国及中国开源权重模型的智能与速度表现。
正文
2/ Artificial Analysis: nitter.net/ArtificialAnlys/status…
NVIDIA has just released Nemotron 3 Ultra, the new most intelligent US open weights model, with leading speed for its intelligence Nemotron 3 Ultra scores 47.7 on the Artificial Analysis Intelligence Index, well ahead of the next strongest US open weights models, Gemma 4 31B (39.2), Nemotron 3 Super (36.0) and gpt-oss-120b (33.3), but behind the Chinese-led open weights frontier (Kimi K2.6 at 53.9). We partnered with @NVIDIA to evaluate this model for intelligence and speed ahead of its public release. These figures use the final NVFP4 weights that NVIDIA recommends for inference, but our tests show minimal intelligence impact compared to BF16 testing, with higher precision resulting in an Artificial Analysis Intelligence Index score of 48.2 vs. the NVFP4 score of 47.7. Key Takeaways: ➤ Nemotron 3 Ultra leads in speed for its intelligence: through BlackBox AI ahead of release, Nemotron 3 Ultra is served at over 400 output tokens per second - this is slightly faster than the typical serving speed of gpt-oss-120b despite being >4X larger, and comes with significantly greater intelligence ➤ Largest Nemotron 3 model so far: with approximately 550 billion total parameters and 55 billion active, Nemotron 3 Ultra is significantly larger than its siblings and is the largest and most intelligent US open weights model release ever ➤ Nemotron 3 Ultra is the leading US open weights model on the Artificial Analysis Intelligence and Agentic Indexes by far, but Gemma 4 31B scores ~1 point higher on the Coding Index (comprised of Terminal-Bench Hard and SciCode)在 X 查看被引用的帖子
来源:@kimmonismus · x.com