Nemotron 3.5 Lightning 30B A3B
The small text model of NVIDIA's Nemotron 3.5 line, a 30B hybrid of Mamba-2, MoE and attention layers activating 3B per token, under the OpenMDW 1.1 license.
- Params
- 30B, 3B active
- Context
- 1M tokens
- Cutoff
- Released
- License
- OpenMDW 1.1
Hosted API price
Cheapest via Azure · per 1M tokens
- Input
- $0.06 /1M
- Output
- $0.22 /1M
- Hosted by
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2 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Nemotron 3.5 Lightning 30B A3B, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
|
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$0.06 | $0.22 | $0.01 | $1.04 | Visit website |
|
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Open weights, no hosted price | Visit website | |||
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Nemotron 3.5 Lightning 30B A3B needs about 19 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 1× RTX 3090 at about $166 a month.
That costs the same as roughly 2B tokens a month on Azure's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 19 GB |
|
$166 | 2B tokens /mo |
| 8-bit FP8 / INT8 | 32 GB |
|
$331 | 4B tokens /mo |
| 16-bit FP16 / BF16 | 62 GB |
|
$662 | 8B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Similarly priced models
The models nearest Nemotron 3.5 Lightning 30B A3B by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Nemotron 3.5 Lightning 30B A3B |
|---|---|---|---|---|---|---|
|
|
$0.0483 | $0.03 | $0.14 | 131K | Jun 2024 | −44% |
|
|
$0.056 | $0.027 | $0.201 | 128K | Dec 2023 | −35% |
|
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$0.0563 | $0.0375 | $0.15 | 128K | −35% | |
|
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$0.0588 | $0.039 | $0.158 | 131K | Jun 2024 | −32% |
|
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$0.075 | $0.05 | $0.20 | 262K | Jun 2025 | −13% |
|
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$0.0867 | $0.06 | $0.22 | 1M | Sep 2025 | |
|
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$0.09 | $0.05 | $0.29 | 256K | Jan 2025 | +4% |
|
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$0.0983 | $0.051 | $0.335 | 128K | Dec 2023 | +13% |
|
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$0.0983 | $0.051 | $0.335 | 33K | +13% | |
|
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$0.10 | $0.10 | $0.10 | 256K | +15% | |
|
|
$0.1042 | $0.075 | $0.25 | 1M | +20% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Nemotron 3.5 Lightning 30B A3B accepts and can do, as published by Nvidia.
- Text Accepts and generates natural-language text.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
Common questions
What is Nemotron 3.5 Lightning 30B A3B good for?
Agents, coding, math and multi-step tool use in English and code, with a switchable thinking mode. Open weights under the OpenMDW 1.1 license, servable on a single high-memory GPU.
When is Nemotron 3.5 Lightning 30B A3B not a good fit?
Image input: it is text only, and no maximum output is published. NVIDIA meant the full-precision weights mainly for fine-tuning and points serving to its 4-bit build.
What is the cheapest way to run Nemotron 3.5 Lightning 30B A3B?
How does Nemotron 3.5 Lightning 30B A3B compare with Nemotron 3 Nano 30B A3B?
Same text input. Nemotron 3.5 Lightning 30B A3B costs 20% more per 1M input tokens and 10% more per 1M output tokens than Nemotron 3 Nano 30B A3B, at each model's cheapest listed provider. It came out 8 months later, has a newer knowledge cutoff (September 2025 against June 2025), a larger context (1M against 262K tokens) and fewer parameters (30B with 3B active against 31.6B with 3.6B active) and is licensed under OpenMDW 1.1 against NVIDIA Nemotron Open Model License.
Can I self-host Nemotron 3.5 Lightning 30B A3B?
Yes. The weights are OpenMDW 1.1 licensed. At 4-bit it needs about 19 GB of GPU memory, which starts at roughly $166 a month on the cheapest rental that fits.
More from Nvidia
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No hosted price