Googlebalanced

Gemma 3n 2B (free)

Gemma 3n E2B IT is a multimodal, instruction-tuned model developed by Google DeepMind, designed to operate efficiently at an effective parameter size of 2B while leveraging a 6B architecture. Based on the MatFormer architecture, it supports nested submodels and modular composition via the Mix-and-Match framework. Gemma 3n models are optimized for low-resource deployment, offering 32K context length and strong multilingual and reasoning performance across common benchmarks. This variant is traine

8K context·~6K words·2K max output
Context window8Ktokens
Max output2Ktokens

Context window

This model accepts 8K tokens in one request (~6K words of text).

Context window size8K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Won't fit
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
8,192 tokens (8K)
Max output tokens
2,048 tokens (2K)
Speed tier
balanced
Provider
Google
Release date
Jul 2025

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (1)
Streaming
Supported
Not supported (7)
Vision
Not supported
Tool use
Not supported
Function calling
Not supported
Extended thinking
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

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Frequently asked questions

Short answers about context size and how this model behaves.

Gemma 3n 2B (free) has a context window of 8K tokens (8,192 tokens). This is sufficient for most chat, summarization, and moderate document tasks.

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