Gemma 3n E4B
Gemma 3n E4B is a chat model developed by Google, capable of handling multiple tasks such as function calling, multilingual support, streaming, text generation, and vision. It is notable for its large context window of 8,192 tokens, allowing it to process and understand lengthy inputs.
Input
Output
Context
33K
Max Output
2K
Parameters
4B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Benchmarks
Resources & Links
Estimated GPU requirements for Gemma 3n E4B
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Gemma 3n E4B
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Gemma 3n E4B advertises a context window of 32,768 tokens, with a maximum output of 2,048 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
No. Gemma 3n E4B is a proprietary model (license: Proprietary): its weights are not distributed, and it runs only through Google's own API or a host with access to it.
Gemma 3n E4B accepts Text, Image, Audio and Video and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Gemma 3n E4B has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Gemma 3n E4B is shown as not available rather than estimated.
Not on the managed pool today; Gemma 3n E4B is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Gemma 3n E4B cannot be self-hosted: its weights are not distributed. It is used through an API, either Google's own or the Inferbase gateway where it is served.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 13, 2026
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