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OpenKey

Qwen3.5-9B

QwenReleased Mar 10, 2026

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

Try in playground
Context window
262K tokens
Max output
262K tokens
Input
text, image, video
Output
text
Tokenizer
Qwen3
Released
Mar 10, 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$0.100$0.0030$0.103
Output$0.150$0.0045$0.154

Benchmarks

Artificial Analysis

Intelligence index
21.4
Coding index
28.7
Agentic index
7.4

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/qwen3.5-9b.

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/qwen3.5-9b",
    "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/qwen3.5-9b",
    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/qwen3.5-9b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3.5-9B cost via API?
Through OpenKey, Qwen3.5-9B costs $0.103 per 1M input tokens and $0.154 per 1M output tokens. That is the provider price ($0.100 / $0.150) plus a flat 3% fee — nothing else.
What is Qwen3.5-9B's context window?
Qwen3.5-9B accepts up to 262K tokens of context and returns up to 262K tokens per request.
Is Qwen3.5-9B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3.5-9b" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3.5-9B support?
Qwen3.5-9B accepts text, image, video input and produces text output.

More from Qwen

All Qwen models →