Google: Gemma 3n 4B

Public pricingIntelligence 76/100Medium memoryالرؤيةاستخدام الأدوات

Google: Gemma 3n 4B هو نموذج نصي مخصص لـفهم الرؤية واللغة. يجمع بين معالجة الإدخال متعدد الوسائط، معالجة الصوت وسياق بحجم 33K tokens وملف منخفض التكلفة لتقديم عمل موثوق في audio understanding and multimodal input. وهو خيار عملي عندما تكون زمن الاستجابة والتكلفة والإنتاجية مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.06/1M

Output

$0.12/1M

Calculate your Gemma 3n 4B bill.

Set your workload — see cost at your exact volume.

What would Gemma 3n 4B cost you?

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1,00010,00050,000250,0001M10M

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.

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.

Still unsure?

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