NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, featuring 3 billion active parameters out of 30 billion total. It supports an extensive context window of up to 1,000,000 tokens. This model is designed to deliver efficient performance for high-throughput agentic workloads and specialized tasks. Compared with Nemotron 3 Super and Ultra, Lightning is smaller and optimized for fast, high-volume execution, while the larger models focus on complex planning and advanced reasoning.
nemotron-3.5-lightning-free vs qwen3.8-max-preview
Context windows are 1,000,000 tokens on nemotron-3.5-lightning-free and 983,616 tokens on qwen3.8-max-preview.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
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Cost Calculator
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Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How large is each context window?
nemotron-3.5-lightning-free accepts 1,000,000 and qwen3.8-max-preview accepts 983,616 input tokens.
What inputs and capabilities does each model support?
nemotron-3.5-lightning-free accepts text input and supports reasoning, tool calling and long context; qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call nemotron-3.5-lightning-free and qwen3.8-max-preview with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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