Nemotron 3.5 Lightning on Vercel AI Gateway

Nemotron 3.5 · NVIDIA AI

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Open Weights

Last refreshed 2026-10-21. Next refresh: weekly.

Why use Nemotron 3.5 Lightning on Vercel AI Gateway?

Vercel AI Gateway offers Nemotron 3.5 Lightning with pay-as-you-go pricing at $0.05/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.

Compare Nemotron 3.5 Lightning across 2 providers to find the best fit for your use case
Input / 1M
$0.050
Output / 1M
$0.20
Cache
read $0.010
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export AI_GATEWAY_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
Model ID
nvidia/nemotron-3.5-lightning

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="nvidia/nemotron-3.5-lightning",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "nvidia/nemotron-3.5-lightning", not the LLMReference slug "nemotron-3.5-lightning".
  • creator/model-name e.g. kwaipilot/kat-coder-pro-v2
  • The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.

Compare Nemotron 3.5 Lightning Across Providers

ProviderInput (per 1M)Output (per 1M)
OpenRouter$0.06$0.16
Vercel AI Gateway$0.05$0.20

Pricing

TypePrice (per 1M)
Input tokens$0.05
Output tokens$0.20

Capabilities

ReasoningJSON / Tool use

About Nemotron 3.5 Lightning

NVIDIA Nemotron 3.5 Lightning (HF nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B) is an open-weight hybrid Mamba-Transformer mixture-of-experts text model with 30B total and 3B active parameters (NemotronHForCausalLM), released 11 August 2026. NVIDIA lists context up to 1M tokens (256K used for single-H100 deployment). Weights ship in BF16, NVFP4 and speculative-decoding (DSpark/DFlash) variants plus a base checkpoint under OpenMDW 1.1. It is offered on build.nvidia.com and OpenRouter (free tier).

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Model Specs

Released2026-08-11
Parameters30B (3B activated)
Context1M
ArchitectureMoE + SSM Hybrid