Skip to content
OpenKey

Qwen3.5 Plus 2026-02-15

QwenReleased Feb 16, 2026

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

Try in playground
Context window
1M tokens
Max output
66K tokens
Input
text, image, video
Output
text
Tokenizer
Qwen3
Released
Feb 16, 2026
Reasoning
optional

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.260$0.0078$0.268
Output$1.56$0.047$1.61

Benchmarks

Design Arena

CategoryEloWin rateRank
3Dmodels119647.8%#47
ASCII artmodels114143.2%#41
Codemodels121648.5%#45
Data vizmodels117944.8%#56
Game devmodels117242.7%#57
SVGmodels116648.9%#39
UI componentsmodels123352.2%#36
Websitesmodels123050.1%#40

Head-to-head preference voting. How we filter and rank

Supported parameters

  • include_reasoning
  • logprobs
  • max_tokens
  • presence_penalty
  • reasoning
  • response_format
  • seed
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen3.5-plus-02-15.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.5-plus-02-15",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="qwen/qwen3.5-plus-02-15",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3.5-plus-02-15",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3.5 Plus 2026-02-15 cost via API?
Through OpenKey, Qwen3.5 Plus 2026-02-15 costs $0.268 per 1M input tokens and $1.61 per 1M output tokens. That is the provider price ($0.260 / $1.56) plus a flat 3% fee — nothing else.
What is Qwen3.5 Plus 2026-02-15's context window?
Qwen3.5 Plus 2026-02-15 accepts up to 1M tokens of context and returns up to 66K tokens per request.
Is Qwen3.5 Plus 2026-02-15 OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3.5-plus-02-15" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3.5 Plus 2026-02-15 support?
Qwen3.5 Plus 2026-02-15 accepts text, image, video input and produces text output.

More from Qwen

All Qwen models →