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...
- 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 tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.260 | $0.0078 | $0.268 |
| Output | $1.56 | $0.047 | $1.61 |
Benchmarks
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| 3Dmodels | 1196 | 47.8% | #47 |
| ASCII artmodels | 1141 | 43.2% | #41 |
| Codemodels | 1216 | 48.5% | #45 |
| Data vizmodels | 1179 | 44.8% | #56 |
| Game devmodels | 1172 | 42.7% | #57 |
| SVGmodels | 1166 | 48.9% | #39 |
| UI componentsmodels | 1233 | 52.2% | #36 |
| Websitesmodels | 1230 | 50.1% | #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.
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.
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