LLM Reference
AWS Bedrock

Gemma 4 E2B on AWS Bedrock

Gemma 4 · Google DeepMind

ServerlessOpen Source

Last refreshed 2026-06-15. Next refresh: weekly.

Why use Gemma 4 E2B on AWS Bedrock?

AWS Bedrock offers Gemma 4 E2B with competitive pricing. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.

Compare Gemma 4 E2B across 2 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install boto3
Auth
export AWS_ACCESS_KEY_ID=...
Call
import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="gemma-4-e2b",
Model ID
gemma-4-e2b

Request example

import boto3

# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="gemma-4-e2b",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Gotchas

  • Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
  • The endpoint template includes a region segment; set the same region in your SDK/client configuration.
  • The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.

Compare Gemma 4 E2B Across Providers

ProviderInput (per 1M)Output (per 1M)
GCP Vertex AIFreeFree
AWS Bedrock

Capabilities

MultimodalFunction Calling

About Gemma 4 E2B

Ultra-mobile and edge-optimized model with native audio input support. Designed for on-device deployment on edge devices and browsers with advanced reasoning capabilities.

FAQ

What is the context window for Gemma 4 E2B on AWS Bedrock?

Gemma 4 E2B supports a 128k token context window on AWS Bedrock.

How does AWS Bedrock compare to other Gemma 4 E2B providers?

Gemma 4 E2B is available from 2 providers. The cheapest input pricing is $0/1M tokens from GCP Vertex AI.

Who created Gemma 4 E2B?

Gemma 4 E2B was created by Google DeepMind as part of the Gemma 4 model family.

Is Gemma 4 E2B open source?

Gemma 4 E2B is open source under Apache 2.0 according to the seed data.

Get Started

Model Specs

Released2026-03-31
Parameters2B
Context128k
Knowledge cutoff2025-01

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