Using Muse Spark 1.2 Contributor on Vercel AI Gateway

Implementation guide · Muse · AI at Meta

Serverless

Vercel AI Gateway exposes Muse Spark 1.2 Contributor through model ID meta/muse-spark-1.2-contributor. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-19. Next refresh: weekly.

Quick Start

1
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call meta/muse-spark-1.2-contributor — see the documentation for request format.
3
You'll be billed $0.10/1M input, $0.20/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

meta/muse-spark-1.2-contributor

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-spark-1.2-contributor",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.10
Output tokens	$0.20

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt CachingAudio

About Muse Spark 1.2 Contributor

Muse Spark 1.2 Contributor is the Contributor-tier Model API id (muse-spark-1.2-contributor) for Muse Spark 1.2. Distinct catalog ID (same pattern as muse-spark-1.3-contributor). 1,048,576-token context; multimodal inputs. Contributor mode: discounted tokens in exchange for permission to use content to train future Meta models. FP pricing: $0.10/$0.20 per 1M in/out (cached input $0.002).

Full model details →

Model Specs

Context1M

Vercel