Gemma 4 E2B
gemma-4-e2b
Last refreshed 2026-05-11. Next refresh: weekly.
Gemma 4 E2B is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 1 tracked provider route, and research from 2026-04-21.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 128k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
Free
GCP Vertex AI per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-04-21
Researched 28d ago
Top use-case fit
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
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| GCP Vertex AI | Free | Free | Serverless |
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
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 has a 128K-token context window.
Gemma 4 E2B input tokens at $0/1M, output at $0/1M.