Gemma 7B

Google chat Free

API ID: google/gemma-7b-it

Compare Calculate
Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Gemma 7B

Gemma by Google is an advanced, open-source language model family, leveraging the latest in decoder-only, text-to-text technology. It offers English language capabilities across text generation tasks like question answering, summarization, and reasoning. The Gemma 7B variant is comparable in performance to leading open source models. Usage of Gemma is subject to Google's [Gemma Terms of Use](https://ai.google.dev/gemma/terms).

🏆
Price Ranking
#6 lowest price among 1240 Chat models — Top 20% cheapest!

Model Specifications

Context Length
8k
Max Output
—
Release Date
2024-02-22
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
🎉

This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Google Model Lineup

Compare all models from Google to find the best fit

Model Input Output Context Capabilities
Gemma 7B Current Free Free 8k chat
Gemma 3n 4B Free Free 33k chat
Gemini 2.5 Flash Image Preview (Nano Banana) Free Free 33k chat vision image_gen
Gemma 3n 2B (free) Free Free 8k chat tool_use
Gemma 1 2B Free Free 8k chat
Gemma 1 2B Free Free 8k chat
View All Google Models →

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Alibaba Qwen Qwen2.5-VL 7B Instruct
Alibaba Qwen
Input: Free
Output: Free
Context: 33k
ByteDance Seedream 4.5
ByteDance
Input: Free
Output: Free
Context: 4k
Black Forest Labs FLUX.2 Max
Black Forest Labs
Input: Free
Output: Free
Context: 47k
Other Riverflow V2 Max Preview
Other
Input: Free
Output: Free
Context: 8k
Compare These Models

🚀 Quick Start

Get started with Gemma 7B API

Google AI Python SDK 
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemma-7b-it")

response = model.generate_content("Hello!")
print(response.text)

Resources

Continue Your Decision

Back to Google Add to Compare Calculate Cost