Google DeepMind · Vision & multimodal
Gemma 4 E4B
On-device/edge deployment with a 128K window; download-only, with QAT quantized builds for phone and laptop inference engines.
Open weights · Community or custom license · Data checked September 6, 2026 · Not a hands-on evaluation
Model ID
- Parameters
- 4B4B effective
- Architecture
- Not recorded
- Context window
- 128,000 tokensMaximum input
- Max output
- Not recordedPer response
- Input price
- $0.00 per 1M tokens
- Output price
- $0.00 per 1M tokens
- Cached input
- Not published
- Blended price
- $0.00 per 1M tokens3:1 input to output
- Knowledge cutoff
- Not recorded
- Released
- 2026
- Status
- ga
- Size band
- Up to 4B
License and openness
Gemma 4 E4B is released under the Gemma 4 license (Gemma Terms of Use). This is a community or custom license with its own conditions, which can include acceptable-use rules, user thresholds or naming requirements. Read it before commercial use. License terms can change between versions; confirm the text published with the weights you download.
Capabilities
| Input modalities | text, image |
|---|---|
| Output modalities | text |
What it is for
At a three-to-one input-to-output ratio, Gemma 4 E4B costs $0.00 per million tokens blended. A workload of one million input and 330,000 output tokens per day would run about $0.00 per month at list price, before caching or batch discounts.
Cost at list price
| Input | $0.00 per 1M tokens |
|---|---|
| Output | $0.00 per 1M tokens |
| Cached input | Not published |
| Blended, 3:1 | $0.00 per 1M tokens |
A recorded $0.00 is preserved from the reference as recorded. It does not promise free access; check the provider’s current terms.
Estimate a workload across all models ↗Sources
- Source: ai.google.dev ↗
- Google DeepMind pricing ↗
- API docs ↗
- Full reference record for Gemma 4 E4B ↗
- Google DeepMind in the reference ↗
Sources checked September 6, 2026. Specifications and prices change without notice; confirm against the provider before you commit.
Other open-weight models from Google DeepMind
- Gemma 4 31B Instruct · 31B dense
- Gemma 4 26B A4B Instruct · 26B total · 4B active
- Gemma 4 12B · 12B
- Gemma 4 E2B · 2B