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Available now on ModelsLab · Language Model

Qwen: Qwen3.5 Plus 2026-02-15Multimodal Power, Million Tokens

Part of the Qwen API family on ModelsLab.

Try Qwen: Qwen3.5 Plus 2026-02-15API Documentation

Run Qwen3.5 Plus Efficiently

1M Context

Process Massive Inputs

Handle 1,000,000 tokens with text, image, video inputs via Qwen: Qwen3.5 Plus 2026-02-15 API.

Hybrid Architecture

Linear Attention MoE

Qwen qwen3 5 plus 2026 02 15 uses sparse experts for 19x faster long-context decoding.

Auto Reasoning

Adaptive Tool Use

Qwen: Qwen3.5 Plus 2026-02-15 LLM auto-activates search, code interpreter in Auto mode.

Examples

See what Qwen: Qwen3.5 Plus 2026-02-15 can create

Copy any prompt below and try it yourself in the playground.

Code Review

“Review this Python function for efficiency and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)”

Math Proof

“Prove that the sum of the first n natural numbers is n(n+1)/2 using mathematical induction. Show all steps clearly.”

JSON Schema

“Generate a JSON schema for a user profile including name, email, age, and preferences array with validation rules.”

Logic Puzzle

“Three houses in a row, owned by Alice, Bob, Carl. Alice has a dog, Bob drinks tea, Carl lives in the middle. Dog owner drinks coffee. Who drinks milk?”

For Developers

A few lines of code.
Million tokens. One call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, on plans from $21/month
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Qwen: Qwen3.5 Plus 2026-02-15

Read the docs

Qwen: Qwen3.5 Plus 2026-02-15 is a hosted API model with hybrid linear attention and MoE architecture. It supports 1M token context for text, image, video inputs. Released February 2026 by Alibaba.

Matches Gemini 3 Pro performance at 1/18th cost. 19x faster than Qwen3-Max on 256k tasks. Outperforms in reasoning, coding, vision benchmarks.

Supports 1,000,000 tokens, far exceeding standard 256k models. Enables long document analysis and extended conversations.

Direct alternative to Gemini 3 Pro, Claude 4.5, GPT-5.2 with lower cost and speed gains. Use for multimodal agent tasks.

Yes, Auto mode adaptively uses web search and code interpreter. Enable reasoning parameter for step-by-step thinking.

Priced at 0.8 yuan per million tokens. Among cheapest for its speed and 88% benchmark success rate.

Ready to create?

Start generating with Qwen: Qwen3.5 Plus 2026-02-15 on ModelsLab.

Try Qwen: Qwen3.5 Plus 2026-02-15API Documentation