5 language models from NVIDIA. 5 have weights you can download. Input prices run from $0.03 to $0.10 per 1M tokens. The largest context window is 1M tokens (Nemotron 3.5 Super VL 120B-A12B). Newest check: 6 Nov 2026.
94 of 197 models were checked against the vendor's own page in the last 30 days.
| Model | Lab | Context | In / out per 1M | Reads and writes | Status | Checked |
|---|---|---|---|---|---|---|
| Nemotron Labs Dory 1.0 4BNVIDIA's open 4B looped model: one checkpoint reuses its shared layers 1, 2 or 4 times per token, with a 256K-token context window and a permissive licence. | NVIDIA | 262K | -- | text, code → text | Available | 20 Oct |
| Nemotron 3.5 Bolt 74B-A9B 24GBNVIDIA's open 74B-A9B vision-language MoE, quantized to 2 bits to fit 24GB, built for local agents. Released in October 2026 with 256K context. | NVIDIA | 262K | -- | text, image, video → text | Available | 20 Oct |
| Nemotron 3.5 Super VL 120B-A12BNVIDIA's open mixture-of-experts vision-language model for document, screenshot and video agents, released in October 2026. | NVIDIA | 1M | $0.10 / $0.40 | text, image, video → text | Available | 20 Oct |
| Nemotron 3 Nano 30B A3BNVIDIA's open Nemotron 3 Nano (30B total, 3.6B active) hits 78.3% MMLU-Pro with 3.3x the throughput of Qwen3-30B-A3B, released December 2025. | NVIDIA | 1M | $0.05 / $0.20 | text → text | Available | 31 Aug |
| Nemotron 3.5 LightningNVIDIA's open MoE model for AI agents: 3B of 30B parameters active per token, a 1M-token window and quicker agent tasks than a same-size Qwen rival on PinchBench. | NVIDIA | 1M | $0.025 / $0.12 | text, code → text | Available | 6 Nov |
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