NVIDIA 发布 Nemotron 3.5 Super VL，登顶美国开源权重模型榜首
NVIDIA 开源模型这次真香，Super VL 比上代聪明一倍还省一半 token，Bolt 更是小体积逼近 Ultra，本地部署党可以看看。
NVIDIA 的 Nemotron 3.5 Super VL 在 Artificial Analysis Intelligence Index 上拿到 26 分，超过 Thinking Machines 的 Inkling Small（25.7），成为得分最高的美国开源权重模型，是其前身 Nemotron 3 Super（13 分）的两倍，且每个任务的输出 token 数量减少约 60%。同日发布的 Nemotron 3.5 Bolt 74B-A9B 24GB 得分 21，仅落后 Nemotron 3 Ultra（23）1.5 分，但总参数只有 Ultra 的约七分之一（74B 对 550B）。Super VL 以 NVFP4 格式发布，与 BF16 权重的分差在 0.1 分以内，上下文窗口 1M token，支持视觉与文本输入。
Nvidia’s Nemotron 3.5 Super VL is now the leading US open weight model, scoring 26 on the Artificial Analysis Intelligence Index
Nemotron 3.5 Super VL achieves twice the intelligence of its predecessor, Nemotron 3 Super (13), and does so using ~60% fewer output tokens per task
It launches alongside Nemotron 3.5 Bolt 74B-A9B 24GB, the first model in its new Bolt family, which scores 21 on the Intelligence Index
Congratulations to @NVIDIAAI on the releases!
Key Takeaways:
➤ Leading US open weight model: Nemotron 3.5 Super VL scores 26.5, edging out Thinking Machines' Inkling Small (25.7) and ahead of NVIDIA's Nemotron 3 Ultra (23) and Meta's Muse Glimmer (17)
➤ Bolt comes within 2 points of Ultra: Nemotron 3.5 Bolt 74B-A9B 24GB scores 21, 1.5 points behind Nemotron 3 Ultra 550B A55B (23). The 2 bit memory has about a seventh of Ultra's parameters (74B vs 550B) and a sixth of its active parameters (9B vs 55B)
➤ Super 3.5 VL near lossless in NVFP4: Nemotron 3.5 Super VL releases in NVFP4, scoring within 0.1 points of its BF16 weights on the Intelligence Index, with no component moving by more than 2.6 points
Nemotron 3.5 Super VL details
Context window: 1M tokens Modalities: Vision and text input; text output Parameters: 120B / 12B
Nemotron 3.5 Bolt 74B-A9B 24GB details
Context window: 256k tokens Modalities: Vision and text input; text output Parameters: 74B / 9B
