AI Rate Card

Qwen3 32B · requesty

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance. Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.

Base modelAll models on this baseAll models of the providerto the provider

Input, $/1M $0.064

Output, $/1M $0.22

Context 40 960

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Last checked 04.11.2026 12:00:14 UTC

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API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL
https://router.requesty.ai/v1
Endpoint
https://router.requesty.ai/v1/chat/completions
Model id
deepinfra/Qwen/Qwen3-32B:flex
curl
curl https://router.requesty.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "deepinfra/Qwen/Qwen3-32B:flex", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'
Python
import requests

r = requests.post(
    "https://router.requesty.ai/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "deepinfra/Qwen/Qwen3-32B:flex",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())
JavaScript
const r = await fetch("https://router.requesty.ai/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "deepinfra/Qwen/Qwen3-32B:flex",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Request (JSON)
{
  "model": "deepinfra/Qwen/Qwen3-32B:flex",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Response (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "deepinfra/Qwen/Qwen3-32B:flex",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

Source: AI Rate Card, https://airatecard.com/en/c/offer%3Arequesty%7Cdeepinfra/Qwen/Qwen3-32B%3Aflex, prices checked 2026-11-04; seller's page: https://requesty.ai

Technical details

ID: offer:requesty|deepinfra/Qwen/Qwen3-32B:flex