Gemma 3 (27B) overview
Gemma 3 (27B) by Google
Its large context window allows for in-depth processing of extensive content, ideal for tasks requiring long-term contextual awareness.
Gemma 3 (27B) specs
- Model ID
google/gemma-3-27b-it- Developer
- Context window
- 128,000 tokens
- Max output
- 117,964 tokens
- Input
- Text, Image
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Gemma 3 (27B) Description
Gemma 3 (27B) is an advanced multimodal AI model integrating both text and vision processing capabilities. With a 96,000-token context window, it excels at handling large volumes of information and supports function calling for complex, multi-step tasks. Engineered for broad deployment, Gemma 3 balances powerful performance with efficiency, running effectively on devices from mobile phones to high-end workstations.
Technical Specifications
- Multimodal Inputs: Text and visual data processing
- Language Support: Over 140 languages
- Deployment: Optimized for single-GPU systems and hardware-constrained environments
Key Features
- Multimodal Understanding: Combines text and images to generate coherent and contextually relevant outputs.
- Extensive Context Handling: Processes up to 96K tokens to maintain deep content coherence.
- Multilingual Proficiency: Supports communication and translation across more than 140 languages.
- Efficient Deployment: Designed to perform well even on limited hardware, including mobile devices and single-GPU setups.
Ethical Guidelines
Google underscores responsible AI development by promoting transparency around Gemma 3’s functions and limitations. The company advocates for ethical usage to minimize risks of misuse or generating harmful content.
Licensing
Gemma 3 is distributed under the Gemma Terms of Use, providing a commercially-friendly license that permits both research and commercial applications, contingent on adherence to established ethical standards.
Use cases
- AI assistants with image and text modalities
- Multilingual content generation, summarization, and translation
- Visual data analysis including captioning and Q&A
- Research and academic tasks requiring extended context understanding
- Code generation and technical assistance
Capabilities
- Streaming
- Structured outputs
Gemma 3 (27B) benchmarks by
Artificial Analysis
See how Gemma 3 (27B) scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 6 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
Terminal-Bench 4.0
Agentic tasks completed in a command-line environment.
AA-LCR
Reasoning across long documents of about 100k tokens.
SciCode
Python coding tasks drawn from scientific research.
Gemma 3 (27B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.1587 | 1M tokens |
| Output | $0.4867 | 1M tokens |
| Cached input | $0.0794 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Gemma 3 (27B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.1587 | $0.4867 | |
| $0.3 | $2.5 | |
| $0.75 | $3.75 | |
| $0.75 | $3.75 | |
| $2 | $10 |
How to use the Gemma 3 (27B) API
View docsBuild with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "google/gemma-3-27b-it",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "google/gemma-3-27b-it",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "google/gemma-3-27b-it",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Related articles
Gemma 3 (27B) FAQ
What is the context window of Gemma 3 (27B)?
Gemma 3 (27B) has a 128,000 tokens context window and can return up to 131,072 tokens.
What inputs and outputs does Gemma 3 (27B) support?
Gemma 3 (27B) takes image, text as input and returns text.
What is the model ID for Gemma 3 (27B)?
Use google/gemma-3-27b-it as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was Gemma 3 (27B) released?
Gemma 3 (27B) became available on September 9, 2025.
How much does Gemma 3 (27B) cost?
Gemma 3 (27B) costs $0.1587 input and $0.4867 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Gemma 3 (27B) support streaming?
Yes, Gemma 3 (27B) can stream responses as they are generated.
Can Gemma 3 (27B) read images?
Yes, Gemma 3 (27B) accepts image input alongside text.
Who created Gemma 3 (27B)?
Gemma 3 (27B) was built by Google.

