Gemma 3 27B — Google | Parasail
Specs & substance
Spec sheet
- Developed by: Google
- Model family: Gemma
- Category: compact
- Modality: Text
- Context window: 128K tokens
- Architecture: Dense
- Version: 3
- License: Gemma License
- Pricing: $0.08 in $0.45 out · $0.04 cache
- Released: Mar 2025
- Endpoint: parasail-gemma3-27b-it
Proven compact model with multimodal capabilities and strong multilingual support.
Gemma 3 27B is part of the Gemma family by Google, categorized as a compact model. It supports a 128K tokens context window and is built on a Dense architecture.
Key strengths: multilingual, efficient. Parasail serves Gemma 3 27B on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.
Drop-in via the OpenAI SDK
Point any OpenAI-compatible chat client at Parasail and change the model name. That's it.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.parasail.io/v1"
)
response = client.chat.completions.create(
model="parasail-gemma3-27b-it",
messages=[\
{"role": "user", "content": "Hello, what can you do?"}\\n ],
stream=True,
stream_options={"include_usage": True},
top_p=1,
max_tokens=1000,
temperature=1
)
for chunk in response:
if chunk.choices and chunk.choices[0].delta.content is not None:
print(chunk.choices[0].delta.content, end="", flush=True)
Bash
curl https://api.parasail.io/v1/chat/completions \
-H "Authorization: Bearer $PARASAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "parasail-gemma3-27b-it",
"messages": [{"role": "user", "content": "Hello, what can you do?"}],
"stream": true,
"max_tokens": 1000
}'