Gemma 4 E2B

The smallest Gemma 4 model at 2.3B effective parameters, built for mobile and IoT edge devices. Apache 2.0 license.

Params: 5.1B
Context: 128K tokens
Cutoff: Jan 2025
Released: Apr 2026
License: Apache 2.0

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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 4 E2B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Gemma 4 E2B, 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 4 E2B needs about 5 GB of GPU memory at 4-bit with 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 4 E2B 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 (32K context)(Full 128K context)	Cost /mo
4-bit INT4 / FP4	5 GB6 GB	1× GTX 1660 Super	$29$50
8-bit FP8 / INT8	7 GB8 GB	1× RTX 3060	$58$58
16-bit FP16 / BF16	12 GB13 GB	1× RTX 4060 Ti	$94$94

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 4 E2B accepts and can do, as published by Google Cloud.

Text Accepts and generates natural-language text.
Image Accepts images as input alongside text.
Audio Accepts audio as input.
Reasoning Thinks before it answers, always on or as a switchable mode.
Function calling Connect to external tools, APIs, and systems.
Structured output Return responses in structured formats like JSON.

Common questions

What is Gemma 4 E2B good for?

Mobile and IoT edge deployments taking text, images and audio. Apache 2.0 weights, at the light end of the Gemma 4 family.

When is Gemma 4 E2B not a good fit?

Video input, and hosted tools like web search or code execution. No maximum output is published.

What is the cheapest way to run Gemma 4 E2B?

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 4 E2B?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 5 GB of GPU memory, which starts at roughly $29 a month on the cheapest rental that fits.