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- meta.llama3-3-70b-instruct-v1:0
- meta.llama3-70b-instruct-v1:0
- meta.llama3-8b-instruct-v1:0
- meta.llama4-maverick-17b-instruct-v1:0
- meta.llama4-scout-17b-instruct-v1:0
- minimax.minimax-m2
- mistral.ministral-3-14b-instruct
- mistral.ministral-3-8b-instruct
- mistral.mistral-7b-instruct-v0:2
- mistral.mistral-large-2402-v1:0
- mistral.mixtral-8x7b-instruct-v0:1
- mistral.voxtral-mini-3b-2507
- mistral.voxtral-small-24b-2507
- moonshot.kimi-k2-thinking
- nvidia.nemotron-nano-12b-v2
- nvidia.nemotron-nano-9b-v2
- openai.gpt-oss-120b-1:0
- openai.gpt-oss-20b-1:0
- openai.gpt-oss-safeguard-120b
- openai.gpt-oss-safeguard-20b
- qwen.qwen3-235b-a22b-2507-v1:0
- qwen.qwen3-32b-v1:0
- qwen.qwen3-coder-30b-a3b-v1:0
- qwen.qwen3-coder-480b-a35b-v1:0
- qwen.qwen3-next-80b-a3b
- qwen.qwen3-vl-235b-a22b
</details>
<|endoftext|>
# source: VoltAgent__voltagent/website/models-docs/providers/cloudflare-workers-ai.md type: docs
---
title: Cloudflare Workers AI
---
<!-- THIS FILE IS AUTO-GENERATED BY website/scripts/generate-model-docs.js. DO NOT EDIT MANUALLY. -->
# Cloudflare Workers AI
Use `cloudflare-workers-ai/<model>` with VoltAgent's model router.
## Quick start
```ts
import { Agent } from "@voltagent/core";
const agent = new Agent({
name: "cloudflare-workers-ai-agent",
instructions: "You are a helpful assistant",
model: "cloudflare-workers-ai/aura-1",
});
```
## Environment variables
- `CLOUDFLARE_ACCOUNT_ID`
- `CLOUDFLARE_API_KEY`
## Provider package
`workers-ai-provider`
## Default base URL
Not listed.
You can override the base URL by setting `CLOUDFLARE_WORKERS_AI_BASE_URL`.
## Provider docs
- https://developers.cloudflare.com/workers-ai/models/
## Models
<details>
<summary>Show models (54)</summary>
- aura-1
- bart-large-cnn
- deepseek-r1-distill-qwen-32b
- dreamshaper-8-lcm
- flux-1-schnell
- gemma-2b-it-lora
- gemma-3-12b-it
- gemma-7b-it
- gemma-7b-it-lora
- gemma-sea-lion-v4-27b-it
- gpt-oss-120b
- gpt-oss-20b
- granite-4.0-h-micro
- hermes-2-pro-mistral-7b
- llama-2-7b-chat-fp16
- llama-2-7b-chat-hf-lora
- llama-2-7b-chat-int8
- llama-3-8b-instruct
- llama-3-8b-instruct-awq
- llama-3.1-70b-instruct
- llama-3.1-8b-instruct
- llama-3.1-8b-instruct-awq
- llama-3.1-8b-instruct-fast