Using Muse Wonder on Vercel AI Gateway

Implementation guide · Muse · AI at Meta

Serverless

Vercel AI Gateway exposes Muse Wonder through model ID meta/muse-wonder-1.0. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-12. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call meta/muse-wonder-1.0 — see the documentation for request format.
  3. 3
    You'll be billed $4.00/1M input, $20.00/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
meta/muse-wonder-1.0

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="meta/muse-wonder-1.0",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

TypePrice (per 1M)
Input tokens$4.00
Output tokens$20.00

Capabilities

VisionMultimodalReasoningJSON / Tool usePrompt CachingAudio

About Muse Wonder

Muse Wonder is a Meta Superintelligence Labs model released October 12, 2026, for agentic coding, long-running agents and computer use. Meta says it builds on a larger base model than the Muse Spark models. It takes text, image, video and audio input and returns text, with a 1M-token context window. A larger sibling, Muse Wonder Full, is offered only through a Muse Code subscription.

Model Specs

Released2026-10-12
Context1M

Provider

Vercel AI Gateway

Vercel