Meta: Muse Wonder 1.0
Meta Muse Wonder 1.0 API pricing
Muse Wonder 1.0 costs $1.60 per million input tokens and $8.00 per million output tokens on Oxyy. These are the pay-as-you-go prices after the current 60% discount (Launch Promo; standard price $4.00 input and $20.00 output), and cached input tokens are billed at $0.080 per million. Web search is billed on top, at $1.00 per 1K searches. It accepts text and images and returns text, with a 1.05M-token context window and up to 131K output tokens per response. A cheaper Meta option is Muse Spark 1.1 at $0.500 / $1.70 per 1M tokens; for every model and rate, see Meta API pricing.
Meta's Muse Wonder 1.0 is a large language model with extended context capabilities, multimodal input support, and advanced reasoning.
Providers
Where this model runs, and what each route costs. Requests are sent to a healthy provider automatically; if one errors, the gateway retries against another serving the same model.
| Provider | Input /M | Output /M | Cache read /M |
|---|---|---|---|
| Meta | $1.60 | $8.00 | $0.080 |
Capabilities (10)
Supported parameters (13)
A parameter not listed here may be removed before the request reaches the model. When it is, the request still succeeds and the response names it, with the reason, in provider_specific_fields.dropped_params.
Pricing
What this model costs on Oxyy, pay as you go. "Charged" is the rate a request is billed at; the standard price is shown beside it for reference.
| Rate | Standard price | Charged | Unit |
|---|---|---|---|
| Input | $4.00 | $1.60 | per 1M input tokens |
| Output | $20.00 | $8.00 | per 1M output tokens |
| Cached input | $0.200 | $0.080 | per 1M cached input tokens |
| Web search (low context) | $2.50 | $1.00 | per 1K searches |
| Web search (medium context) | $2.50 | $1.00 | per 1K searches |
| Web search (high context) | $2.50 | $1.00 | per 1K searches |
Discount. Charged rates include the current "Launch Promo" discount of 60% on every rate.
Search context size. A grounded request is billed at the web-search rate for the context size it asks for (low, medium or high), on top of its tokens.
Specifications
- Model ID
muse-wonder-1.0- Developer
- Meta
- Type
- Text
- Input
- Text and images
- Output
- Text
- Context window
- 1,048,576 tokens
- Max output
- 131,072 tokens
- Knowledge cutoff
- December 2024
- Released
- Jan 1, 2025
- Tokenizer
- Llama
- Series
- Muse Wonder
- Image input
- Up to 20 MB each, 100 per request · PNG, JPEG, WebP, GIF
- Endpoint
/v1/chat/completions
Best for
Quickstart
Call muse-wonder-1.0 with a POST to /v1/chat/completions on https://api.oxyy.ai, using your Oxyy API key from the OXYY_API_KEY environment variable. The same key works for every model in the catalog.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.oxyy.ai/v1",
api_key=os.environ["OXYY_API_KEY"],
)
response = client.chat.completions.create(
model="muse-wonder-1.0",
messages=[
{"role": "user", "content": "Explain unified AI APIs in one sentence."},
],
)
print(response.choices[0].message.content)About Muse Wonder 1.0
Availability
The share of requests to this model that completed successfully over the last 30 days. Requests the caller cancelled, and requests still in flight, are not counted. When an upstream provider errors, the gateway retries against another provider serving the same model, so a single provider incident does not necessarily show up here.
Activity
Token volume and request traffic to this model over time. Daily totals, UTC.
Prompt tokens measure input size. Completion tokens reflect total output length. Reasoning is not priced separately for this model, so it is not itemised here.
Frequently asked questions
What is Muse Wonder 1.0?
How much does Muse Wonder 1.0 cost?
What is the context length of Muse Wonder 1.0?
Does Muse Wonder 1.0 support tool calling and structured outputs?
What inputs and outputs does Muse Wonder 1.0 support?
Which API endpoint does Muse Wonder 1.0 use?
What is the knowledge cutoff of Muse Wonder 1.0?
When was Muse Wonder 1.0 released?
What other models does Meta have?
Alternatives to Muse Wonder 1.0
Models of the same kind from other vendors, closest in price first. Prices are pay-as-you-go on Oxyy, through the same API key.