alibaba/qwen3.8-flash-nextOpen WeightsOpen-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding
TECHNICAL SPECIFICATIONS
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ Qwen3.8 Flash Next natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.
MCP Context Window Recommendations
With a context capacity of 262,144 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.
STANDARDIZED BENCHMARKS & EVALS
API CALL INVOCATION EXAMPLE
// Example: Calling Qwen3.8 Flash Next via OpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.ALIBABA_API_KEY,
});
const response = await client.chat.completions.create({
model: "alibaba/qwen3.8-flash-next",
messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});
console.log(response.choices[0].message.content);PRICING BY PROVIDER
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
This model supports prompt caching at $0.05 / 1M tokens, saving up to 75% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
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