Artificial Analysis (@ArtificialAnlys) · 10/15/2026, 23:51:19
Nvidia Nemotron 3.5 Super VL Tops US Open Weights: Doubles Intelligence with Near-Lossless NVFP4 Quantization
Nvidia's Nemotron 3.5 Super VL has become the leading US open-weight model on the Artificial Analysis Intelligence Index with a score of 26.5, doubling its predecessor's intelligence while reducing output tokens by ~60%. The vision-language model features a 1M token context window and achieves near-lossless performance in NVFP4 quantization (within 0.1 points of BF16). Additionally, the new Nemotron 3.5 Bolt 74B-A9B model scores 21, approaching the flagship Ultra's performance with significantly fewer parameters.
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Artificial Analysis (@ArtificialAnlys) · 2026-10-15 15
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
