Google: Gemma 3n 4B

Public pricingIntelligence 76/100Medium memoryविज़नटूल उपयोग

Google: Gemma 3n 4B एक टेक्स्ट मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، ऑडियो प्रोसेसिंग, 33K tokens का context और कम लागत profile जोड़कर audio understanding and multimodal input में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.06/1M

Output

$0.12/1M

Calculate your Gemma 3n 4B bill.

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What would Gemma 3n 4B cost you?

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Technical specifications

Gemma 3n 4B at a glance.

Memory

32,768

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Jun 2025

Training cutoff

Aug 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    19

  • mmlu_pro

    69.4

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Gemma 3n 4B

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Gemma 3n 4B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Gemma 3n 4B costs roughly $9 per month. Input is $0.06 /1M tokens and output is $0.12 /1M tokens.
Gemma 3n 4B has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, Gemma 3n 4B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemma 3n 4B was released in June 2025, with training data cut off around August 2024.
Models in a similar class include Gemini 2.0 Flash Lite, Gemma 3 12B, Gemma 3 27B. The "Similar models" section below this FAQ links into each.

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