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OpenKey

Qwen3.5-27B

QwenReleased Feb 25, 2026

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

Try in playground
Context window
262K tokens
Max output
66K tokens
Input
text, image, video
Output
text
Tokenizer
Qwen3
Released
Feb 25, 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$0.195$0.0059$0.201
Output$1.56$0.047$1.61

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen3.5-27b.

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/qwen3.5-27b",
    "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/qwen3.5-27b",
    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/qwen3.5-27b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3.5-27B cost via API?
Through OpenKey, Qwen3.5-27B costs $0.201 per 1M input tokens and $1.61 per 1M output tokens. That is the provider price ($0.195 / $1.56) plus a flat 3% fee — nothing else.
What is Qwen3.5-27B's context window?
Qwen3.5-27B accepts up to 262K tokens of context and returns up to 66K tokens per request.
Is Qwen3.5-27B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3.5-27b" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3.5-27B support?
Qwen3.5-27B accepts text, image, video input and produces text output.

More from Qwen

All Qwen models →