Model tracker / Google
Gemma 4 E2B
Small open-weight model (2.3B effective) for low-latency text, image and audio tasks
Gemma 4 E2B is a fast open-weight model from Google, released 31 March 2026. At AWS it costs $0.04 per million input tokens and $0.08 per million output tokens, with a 128K-token context window.
- Made by
- Alphabet (Google, Google DeepMind, Google Cloud)
- Released
- 2026-03-31
- Status
- Generally available
- Tier
- Fast
- Weights
- Open
- Memory to run
- About 13 GB (BF16)
- Context window
- 128,000 tokens
- Input
- text, image, audio, video
- API id
google.gemma-4-e2b
Gemma 4 E2B price at AWS
US dollars per million tokens. Blended is 3 input tokens for every output token, one number to compare on.
| Provider | Input | Output | Cached input | Blended | Batch | Checked |
|---|---|---|---|---|---|---|
| AWS | $0.04 | $0.08 | – | $0.05 | – | 2026-11-05 |
- AWS: Amazon Bedrock, US East (N. Virginia), Standard tier, bedrock-mantle endpoint only. Same in US East (Ohio) and US West (Oregon); Europe (Frankfurt): $0.05 / $0.10.
Can you run Gemma 4 E2B yourself?
Yes. Google publishes the weights on Hugging Face as google/gemma-4-E2B-it, under Apache 2.0: 5.1B (2.3B effective) parameters, 10 GB in BF16.
Running it takes about 13 GB of GPU memory: a single GPU with at least 13 GB of memory, or a Mac with comfortably more than 13 GB. That's the weight files plus 20% for working memory with short inputs; long contexts need more, and fitting in memory doesn't make it fast.
Models like Gemma 4 E2B
Other fast models closest in price, at each maker's own price or the cheapest provider.
| Model | Input | Output | Context | Weights |
|---|---|---|---|---|
| Gemma 4 E2B | $0.04 | $0.08 | 128K | Open |
| gpt-oss-20b OpenAI | $0.03 | $0.14 | 131K | Open |
| gpt-oss-120b OpenAI | $0.037 | $0.17 | 131K | Open |
| NVIDIA Nemotron 3.5 Lightning 30B A3B NVIDIA | $0.06 | $0.16 | 262K | Open |
| Ministral 3 3B Mistral AI | $0.10 | $0.10 | 256K | Open |
| LFM3-1.7B Liquid AI | $0.08 | $0.20 | 262K | Open |
Compare them all in the model tracker →
Gemma 4 E2B on dbggr
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Gemma 4 E2B FAQ
How much does Gemma 4 E2B cost?
Gemma 4 E2B costs $0.04 per million input tokens and $0.08 per million output tokens at AWS. Prices are list prices in US dollars, last checked 5 November 2026.
What is Gemma 4 E2B's context window?
Gemma 4 E2B takes up to 128,000 tokens in one request.
Is Gemma 4 E2B open weight?
Yes. Google publishes the weights, so you can run Gemma 4 E2B yourself or at any host that serves it.
Can I run Gemma 4 E2B locally?
Gemma 4 E2B's weights are 10 GB in BF16, so it needs about 13 GB of GPU memory: a single GPU with at least 13 GB of memory, or a Mac with comfortably more than 13 GB.
Where can I use Gemma 4 E2B?
Gemma 4 E2B is available from AWS. At AWS, call it as google.gemma-4-e2b.