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OpenKey

Qwen3.5-122B-A10B

QwenReleased Feb 25, 2026

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

Try in playground
Context window
262K tokens
Max output
262K 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$0.260$0.0078$0.268
Output$2.08$0.062$2.14

Benchmarks

Artificial Analysis

Intelligence index
32.3
Coding index
45.7
Agentic index
20.7

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/qwen3.5-122b-a10b.

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/qwen3.5-122b-a10b",
    "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/qwen3.5-122b-a10b",
    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/qwen3.5-122b-a10b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3.5-122B-A10B cost via API?
Through OpenKey, Qwen3.5-122B-A10B costs $0.268 per 1M input tokens and $2.14 per 1M output tokens. That is the provider price ($0.260 / $2.08) plus a flat 3% fee — nothing else.
What is Qwen3.5-122B-A10B's context window?
Qwen3.5-122B-A10B accepts up to 262K tokens of context and returns up to 262K tokens per request.
Is Qwen3.5-122B-A10B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3.5-122b-a10b" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3.5-122B-A10B support?
Qwen3.5-122B-A10B accepts text, image, video input and produces text output.

More from Qwen

All Qwen models →