Gemma 3 1B

The smallest Gemma 3 model at 1B parameters, built for on-device and resource-constrained deployments.

Params: 1B
Context: 32K tokens
Max output: 32K
Cutoff: Aug 2024
Released: Mar 2025
License: Gemma Terms of Use

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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 Gemma 3 1B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Gemma 3 1B, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Google Cloud Creator	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

Gemma 3 1B needs about 3 GB of GPU memory at 4-bit with its full 32K context. The cheapest rental that fits is 1× GTX 1660 Super at about $29 a month.

Fits on 1

What it costs to self-host Gemma 3 1B at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (Full 32K context)	Cost /mo
4-bit INT4 / FP4	3 GB	1× GTX 1660 Super	$29
8-bit FP8 / INT8	3 GB	1× GTX 1660 Super	$29
16-bit FP16 / BF16	4 GB	1× GTX 1660 Super	$29

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. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.

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Capabilities

What Gemma 3 1B accepts and can do, as published by Google Cloud.

Text Accepts and generates natural-language text.
Function calling Connect to external tools, APIs, and systems.

Common questions

What is Gemma 3 1B good for?

On-device and low-resource text tasks. Open weights under the Gemma Terms of Use, at the light end of the Gemma family and small enough for any consumer GPU.

When is Gemma 3 1B not a good fit?

Anything beyond text: no image, video or audio input. The license is Google's custom Gemma Terms of Use rather than Apache 2.0, and the Gemma 4 family knows more recent events.

What is the cheapest way to run Gemma 3 1B?

No provider we track hosts it; self-hosting on the cheapest rental that fits (1x GTX 1660 Super, $0.04 per hour) costs about $29 a month.

Can I self-host Gemma 3 1B?

Yes. The weights are released under the Gemma Terms of Use. At 4-bit it needs about 3 GB of GPU memory, which starts at roughly $29 a month on the cheapest rental that fits.