LLM Reference

Gemma 4 E2B

Released
2026-03-31
Last refreshed
2026-06-15
Status
Researched 73d ago
Open sourceCommercial use: permittedMultimodalRAGAgentsLong contextVisionJSON / Tool use

Gemma 4 E2B is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Gemma 4
Released
2026-03-31
Context
128k
Parameters
2B
Knowledge cutoff
2025-01
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
Free
Input / 1M
Free

Cheapest of 2 routes · GCP Vertex AI

About

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.

Gemma 4 E2B is an open-source model in the Gemma 4 family. The structured metadata tracks a 128k-token context window, multimodal input, and function calling. This page tracks provider routes through GCP Vertex AI and AWS Bedrock, with the cheapest tracked route listed at free input and free output per 1M tokens. Headline tracked benchmarks include MMMU Pro 44.2.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
GCP Vertex AIFreeFree
Serverless
AWS Bedrock--
ServerlessPartial

Available via routers & gateways(14)

Capabilities

MultimodalFunction Calling

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
MMMU Pro44.2LLM-Stats aggregatorhttps://llm-stats.com/benchmarks/mmmu-pro

Migration checks

No linked migration route is available for this model yet.

Compare Gemma 4 E2B with other models

Frequently asked questions

What is the context window of Gemma 4 E2B?

Gemma 4 E2B has a context window of 128k tokens.

How much does Gemma 4 E2B cost?

Gemma 4 E2B is available at $0/1M input tokens through GCP Vertex AI.

When was Gemma 4 E2B released?

Gemma 4 E2B was released on 2026-03-31.

Which providers offer Gemma 4 E2B?

Gemma 4 E2B is available from 2 providers: GCP Vertex AI, AWS Bedrock.

What benchmarks has Gemma 4 E2B been tested on?

Gemma 4 E2B has been evaluated on 1 benchmark, including MMMU Pro.