qwen3-30b-a3b-fp8

Text Generation • Qwen

@cf/qwen/qwen3-30b-a3b-fp8

  • Cloudflare-hosted
  • Batch
  • Function calling
  • Reasoning

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support.

Model Info
Context Window ↗ 32,768 tokens
Function calling ↗ Yes
Reasoning Yes
Batch Yes
Unit Pricing $0.0509 per M input tokens, $0.335 per M output tokens

Playground

Try out this model with Workers AI LLM Playground. It does not require any setup or authentication and is an instant way to preview and test a model directly in the browser.

Launch the LLM Playground

Usage

export interface Env {
  AI: Ai;
}

export default {
  async fetch(request, env): Promise<Response> {

    const messages = [
      { role: "system", content: "You are a friendly assistant" },
      {
        role: "user",
        content: "What is the origin of the phrase Hello, World",
      },
    ];

    const stream = await env.AI.run("@cf/qwen/qwen3-30b-a3b-fp8", {
      messages,
      stream: true,
    });

    return new Response(stream, {
      headers: { "content-type": "text/event-stream" },
    });
  },
} satisfies ExportedHandler<Env>;

export interface Env {
  AI: Ai;
}

export default {
  async fetch(request, env): Promise<Response> {

    const messages = [
      { role: "system", content: "You are a friendly assistant" },
      {
        role: "user",
        content: "What is the origin of the phrase Hello, World",
      },
    ];
    const response = await env.AI.run("@cf/qwen/qwen3-30b-a3b-fp8", { messages });

    return Response.json(response);
  },
} satisfies ExportedHandler<Env>;

import os
import requests

ACCOUNT_ID = "your-account-id"
AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN")

prompt = "Tell me all about PEP-8"
response = requests.post(
  f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/qwen/qwen3-30b-a3b-fp8",
    headers={"Authorization": f"Bearer {AUTH_TOKEN}"},
    json={
      "messages": [
        {"role": "system", "content": "You are a friendly assistant"},
        {"role": "user", "content": prompt}
      ]
    }
)
result = response.json()
print(result)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/qwen/qwen3-30b-a3b-fp8 \
  -X POST \
  -H "Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN" \
  -d '{ "messages": [{ "role": "system", "content": "You are a friendly assistant" }, { "role": "user", "content": "Why is pizza so good" }]}'

OpenAI compatible endpoints

Workers AI also supports OpenAI compatible API endpoints for /v1/chat/completions and /v1/embeddings. For more details, refer to Configurations .

Parameters

<details>

<summary>Synchronous — Send a request and receive a complete response</summary>

prompt

<code>string</code>requiredminLength: 1The input text prompt for the model to generate a response.

lora

<code>string</code>Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.

▶response_format{}

<code>object</code>

raw

<code>boolean</code>default: falseIf true, a chat template is not applied and you must adhere to the specific model's expected formatting.

stream

<code>boolean</code>default: falseIf true, the response will be streamed back incrementally using SSE, Server Sent Events.

max_tokens

<code>integer</code>default: 2000The maximum number of tokens to generate in the response.

temperature

<code>number</code>default: 0.6minimum: 0maximum: 5Controls the randomness of the output; higher values produce more random results.

top_p

<code>number</code>minimum: 0.001maximum: 1Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.

top_k

<code>integer</code>minimum: 1maximum: 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.

seed

<code>integer</code>minimum: 1maximum: 9999999999Random seed for reproducibility of the generation.

repetition_penalty

<code>number</code>minimum: 0maximum: 2Penalty for repeated tokens; higher values discourage repetition.

frequency_penalty

<code>number</code>minimum: -2maximum: 2Decreases the likelihood of the model repeating the same lines verbatim.

presence_penalty

<code>number</code>minimum: -2maximum: 2Increases the likelihood of the model introducing new topics.

id

<code>string</code>Unique identifier for the completion

object

<code>string</code>enum: chat.completionObject type identifier

created

<code>number</code>Unix timestamp of when the completion was created

model

<code>string</code>Model used for the completion

▶choices[]

<code>array</code>List of completion choices

▶usage{}

<code>object</code>Usage statistics for the inference request

prompt_logprobs{}

<code>object</code>Log probabilities for the prompt (if requested)

</details>

<details>

<summary>Streaming — Send a request with stream: true and receive server-sent events</summary>

prompt

<code>string</code>requiredminLength: 1The input text prompt for the model to generate a response.

lora

<code>string</code>Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.

▶response_format{}

<code>object</code>

raw

<code>boolean</code>default: falseIf true, a chat template is not applied and you must adhere to the specific model's expected formatting.

stream

<code>boolean</code>default: falseIf true, the response will be streamed back incrementally using SSE, Server Sent Events.

max_tokens

<code>integer</code>default: 2000The maximum number of tokens to generate in the response.

temperature

<code>number</code>default: 0.6minimum: 0maximum: 5Controls the randomness of the output; higher values produce more random results.

top_p

<code>number</code>minimum: 0.001maximum: 1Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.

top_k

<code>integer</code>minimum: 1maximum: 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.

seed

<code>integer</code>minimum: 1maximum: 9999999999Random seed for reproducibility of the generation.

repetition_penalty

<code>number</code>minimum: 0maximum: 2Penalty for repeated tokens; higher values discourage repetition.

frequency_penalty

<code>number</code>minimum: -2maximum: 2Decreases the likelihood of the model repeating the same lines verbatim.

presence_penalty

<code>number</code>minimum: -2maximum: 2Increases the likelihood of the model introducing new topics.

type

<code>string</code>

contentType

<code>text/event-stream</code>

format

<code>binary</code>

</details>

<details>

<summary>Batch — Send multiple requests in a single API call</summary>

▶requests[]

<code>array</code>required

id

<code>string</code>Unique identifier for the completion

object

<code>string</code>enum: chat.completionObject type identifier

created

<code>number</code>Unix timestamp of when the completion was created

model

<code>string</code>Model used for the completion

▶choices[]

<code>array</code>List of completion choices

▶usage{}

<code>object</code>Usage statistics for the inference request

prompt_logprobs{}

<code>object</code>Log probabilities for the prompt (if requested)

</details>

API Schemas (Raw)

SynchronousInput Open Download

SynchronousOutput Open Download

StreamingInput Open Download

StreamingOutput Open Download

BatchInput Open Download

BatchOutput Open Download

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description: "The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. " title: qwen3-embedding-0.6b image: https://developers.cloudflare.com/og-docs.png

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