Qwen3 reasoning model, SOTA in logic, math, code, tool-use
| Provider | Input | Output | Cache read | Context length | Latency | Uptime | Status |
|---|---|---|---|---|---|---|---|
dashscope dashscope/qwen3-235b-a22b-thinking | ¥2.00 | ¥20.00 | — | 262K | — | 0.00% | Lowest |
from openai import OpenAI
client = OpenAI(
base_url="https://api.openroute.cn/v1",
api_key="<ONTOROUTE_API_KEY>",
)
completion = client.chat.completions.create(
model="qwen/qwen3-235b-a22b-thinking",
messages=[
{
"role": "user",
"content": "Write a one-sentence bedtime story about a unicorn.",
}
],
)
print(completion.choices[0].message.content)Prices are CNY (¥) per million tokens, billed as you go. Cache reads can cut the cost of repeated context.
| Parameter | Description | Default |
|---|---|---|
| temperature | Temperature | Set per request |
| top_p | Top P | Set per request |
| tools | Tools | Set per request |