
Orcacyber Flash 1.0
Orcacyber Flash 1.0 is a language model from DeepSeek. It is currently free at 1 provider with up to — tokens of context. Its weights are open, so it can also run locally.
- Developer
- DeepSeek
- Type
- Text
- License
- Open weights
- Free since
- November 5, 2026
Where to use Orcacyber Flash 1.0 for free
Each row is a separate free endpoint with its own limits.
| Provider | Context | Limit | Card | |
|---|---|---|---|---|
OrcaRouter orca/orcacyber-flash-1.0-free |
— | Free tier | — | Open |
Quick start
curl https://api.orcarouter.ai/v1/chat/completions \
-H "Authorization: Bearer $ORCAROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "orca/orcacyber-flash-1.0-free",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key="YOUR_ORCAROUTER_API_KEY",
)
reply = client.chat.completions.create(
model="orca/orcacyber-flash-1.0-free",
messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.orcarouter.ai/v1",
apiKey: process.env.ORCAROUTER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "orca/orcacyber-flash-1.0-free",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(reply.choices[0].message.content);Example for OrcaRouter. 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 We do not publish our own estimates.
Similar free models
FAQ
Is Orcacyber Flash 1.0 free?
Yes. As of November 5, 2026, Orcacyber Flash 1.0 is free at OrcaRouter. Each provider has its own limits — see the table above.
How do I call Orcacyber Flash 1.0 via API?
Use any OpenAI-compatible client with base URL https://api.orcarouter.ai/v1, model ID orca/orcacyber-flash-1.0-free, and a OrcaRouter key.
Is Orcacyber Flash 1.0 open-weight?
Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.