Qwen
Qwen3.8 Flash Next Instant
A low-cost preview of the Qwen4 architecture, for high-volume apps, tool-driven workflows and coding assistants. Answers without a reasoning phase.
- Context window
- 256K tokens
- Accepts
- Text and images
- Input per 1M tokens
- $0.20
- Output per 1M tokens
- $0.50
Send your first request
Set LYCEUM_API_KEY to your API key, then run this request. Usage is billed to your account.
- Base URL
https://api.lyceum.technology/openai/v1- Model ID
qwen/qwen3.8-flash-next-instant- Request fields
model, messages, stream, max_tokens, tools, tool_choice
Documented request fields for this endpoint. See the documentation for model-specific controls and limits.
app.py · Install openai and set LYCEUM_API_KEY
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["LYCEUM_API_KEY"],
base_url="https://api.lyceum.technology/openai/v1",
)
response = client.chat.completions.create(
model="qwen/qwen3.8-flash-next-instant",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)app.ts · Install openai and set LYCEUM_API_KEY in Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.LYCEUM_API_KEY,
baseURL: "https://api.lyceum.technology/openai/v1",
});
const response = await client.chat.completions.create({
model: "qwen/qwen3.8-flash-next-instant",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0]?.message.content);Terminal · Set LYCEUM_API_KEY in your terminal
curl https://api.lyceum.technology/openai/v1/chat/completions \
-H "Authorization: Bearer $LYCEUM_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.8-flash-next-instant",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'What it costs
You pay only for the tokens you use.
Token pricing
| USD per million tokens | |
|---|---|
| Input | $0.20 |
| Cached input | $0.05 |
| Output | $0.50 |
No base fee. Caching applies only where listed. Check the model's processing region before sending data.
The model in detail
Checked against the sources below. Anything they don't state is left out.
Capabilities
- Input and output
- Text and images in, text out
- Context window
- 256K tokens
- Reasoning
- Disabled
- Tool calling
- Supported
Architecture and licence
- Total parameters
- 125B, plus 51B of n-gram embeddings and 4B for multi-token prediction
- Active parameters
- 6B
- Architecture
- Mixture of experts
- Licence
- Qwen Community License 1.0
- Released
- 26 August 2026
Availability
- API model ID
qwen/qwen3.8-flash-next-instant- Provider
- Qwen
- Processing region
- EU-hosted
- Input and output types: official model card, checked 10 September 2026.
- Capabilities and request fields: Lyceum API documentation, checked 9 September 2026.
- Parameters, licence and release date: Qwen’s own sources, including its model card and announcement, checked 29 September 2026.
Common questions about Qwen3.8 Flash Next Instant
Short answers about the model ID, price, limits and behaviour.
What is the model ID for Qwen3.8 Flash Next Instant?
Use qwen/qwen3.8-flash-next-instant as the model value. The OpenAI-compatible base URL is https://api.lyceum.technology/openai/v1. You authenticate with your Lyceum API key as a Bearer token.
How much does Qwen3.8 Flash Next Instant cost?
Qwen3.8 Flash Next Instant costs $0.20 per 1M input tokens, $0.05 per 1M cached input tokens and $0.50 per 1M output tokens. Prices are in US dollars. Billed per token. No base fee.
What is the context window of Qwen3.8 Flash Next Instant?
Qwen3.8 Flash Next Instant has a 256K tokens context window. One request can generate up to 65,536 tokens and run for up to 300 seconds. Set stream: true for long outputs.
Does Qwen3.8 Flash Next Instant reason before it answers?
No. Qwen3.8 Flash Next Instant is Qwen3.8 Flash Next without a reasoning phase, at the same price. It answers directly.
Does Qwen3.8 Flash Next Instant support tool calling?
Yes. Send tools in the standard OpenAI format. Automatic tool calls, parallel calls and tool-result round trips work.
Does Qwen3.8 Flash Next Instant support prompt caching?
Yes, and it is automatic. When requests share an identical start, the cached part is billed at $0.05 per 1M tokens instead of $0.20. Keep the stable part of your prompt at the front. A cache hit is best effort, so read usage.prompt_tokens_details.cached_tokens, which is missing on a miss.
Where does Qwen3.8 Flash Next Instant run, and is my data kept?
Qwen3.8 Flash Next Instant runs on EU-hosted infrastructure. Prompts and outputs are processed, not stored, and never used for training.
How do I call Qwen3.8 Flash Next Instant with the OpenAI SDK?
Point the OpenAI SDK at https://api.lyceum.technology/openai/v1, use your Lyceum API key and set model="qwen/qwen3.8-flash-next-instant". Chat completions, streaming, tool calling and usage accounting work as they do with OpenAI.
Behaviour notes follow the Lyceum API documentation, checked 6 October 2026.
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