alibaba/qwen3-235b-a22b-instruct-2507Open WeightsUpdated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use
TECHNICAL SPECIFICATIONS
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ Qwen3 235B-A22B Instruct 2507 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.
API CALL INVOCATION EXAMPLE
// Example: Calling Qwen3 235B-A22B Instruct 2507 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/qwen3-235b-a22b-instruct-2507",
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 $0.02 / 1M tokens, saving up to 91% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
More Models by Alibaba
Alternative and family models from the same lab
Hosted Qwen coder for software agents, repo edits, and long-context code
Efficient Qwen model for fast chat, extraction, and high-volume workloads
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows