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Gemma SEA-LION V4 27B

Google DeepMind · All Gemma models
Free right now Mid-size
Tool useOpen weights

Gemma SEA-LION V4 27B is a language model with 27B parameters from Google DeepMind. It is currently free at 2 providers with up to 131K tokens of context. The model supports tool calling. Its weights are open, so it can also run locally.

Developer
Google DeepMind
Parameters
27B
Context
131K tokens
Type
Text
License
Open weights
Free since
September 21, 2026

Where to use Gemma SEA-LION V4 27B for free

Each row is a separate free endpoint with its own limits.

ProviderContextLimitCard
Cloudflare Workers AI
@cf/aisingapore/gemma-sea-lion-v4-27b-it
128K Workers Free: 10,000 Neurons/day shared across eligible models — Open
UnoRouter
gemma-sea-lion-v4-27b:free
131K No-card free models use shared capacity and per-model limits; availability can change. No Open

Quick start

curl https://api.cloudflare.com/client/v4/accounts/ACCOUNT_ID/ai/v1/chat/completions \
  -H "Authorization: Bearer $CLOUDFLARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "@cf/aisingapore/gemma-sea-lion-v4-27b-it",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Example for Cloudflare Workers AI. Any OpenAI-compatible client works: Cursor, Cline, OpenCode, Open WebUI.

Benchmarks

This model is not on the Artificial Analysis leaderboard yet. We do not publish our own estimates.

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FAQ

Is Gemma SEA-LION V4 27B free?

Yes. As of October 24, 2026, Gemma SEA-LION V4 27B is free at Cloudflare Workers AI, UnoRouter. Each provider has its own limits — see the table above.

What is the context window of Gemma SEA-LION V4 27B?

The largest context among free routes is 131,072 tokens. Some providers cap it lower.

How do I call Gemma SEA-LION V4 27B via API?

Use any OpenAI-compatible client with base URL https://api.cloudflare.com/client/v4/accounts/ACCOUNT_ID/ai/v1, model ID @cf/aisingapore/gemma-sea-lion-v4-27b-it, and a Cloudflare Workers AI key.

Is Gemma SEA-LION V4 27B open-weight?

Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.