Google: Gemma 3 4B

Public pricingIntelligence 64/100Medium memoryVisiónUso de herramientas

Google: Gemma 3 4B es un modelo multimodal pensado para razonamiento y análisis multimodal. Combina el manejo multimodal de entradas y razonamiento y planificación profundos, un contexto de 131K tokens y un perfil bajo costo para trabajar con fiabilidad en razonamiento y análisis multimodal.

Input

$0.04/1M

Output

$0.08/1M

Cached

$0.01/1M

Batch

$0.02/1M

Calculate your Gemma 3 4B bill.

Set your workload — see cost at your exact volume.

What would Gemma 3 4B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Gemma 3 4B at a glance.

Memory

131,072

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

sentencepiece

Released

Mar 2025

Training cutoff

Aug 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • bbh

    50.9

  • drop

    60.1

  • hellaswag

    77.2

  • humaneval

    36

  • math

    24.2

  • mmlu

    59.6

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 3 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 3 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 3 4B costs roughly $6 per month. Input is $0.04 /1M tokens and output is $0.08 /1M tokens.
Gemma 3 4B has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Gemma 3 4B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemma 3 4B was released in March 2025, with training data cut off around August 2024.
Models in a similar class include Gemma 3 12B, Gemma 3n 4B, Gemini 2.0 Flash Lite. The "Similar models" section below this FAQ links into each.

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