Muse Wonder
by Metameta/muse-wonder
LLMCompare cannot run Muse Wonder yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowMuse Wonder at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 943,718 tokens
- Accepts
- Text, Image, File, Audio, Video
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
maxxhighhighmediumlowminimalReasoning is always on for this model.- Released
- 12 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Muse Wonder pricing by route
A route is the service LLMCompare calls to reach the model. Muse Wonder has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $4.00 | $20.00 | $0.20 | openrouter.ai/meta/muse-wonder |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Muse Wonder costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.014
- 17 credits
- Cost of 100 calls
- $1.40
- 1,700 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 943,718 | Provider default |
reasoning_effort | One of | maxxhighhighmediumlowminimal | medium |
response_format | One of | textjson_object | Provider default |
About Muse Wonder
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Muse Wonder
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Muse Spark OpenMetameta/muse-spark-open | 1.05M | 944k | $1.25 | $4.25 | ReasoningJSONToolsCacheVision | No route yet | ||
Muse Spark 1.3Metameta/muse-spark-1.3 | 1.05M | 944k | $1.25 | $4.25 | ReasoningJSONToolsCacheVision | No route yet | ||
Muse Spark 1.2Metameta/muse-spark-1.2 | 1.05M | 944k | $1.25 | $4.25 | ReasoningJSONToolsCacheVision | No route yet | ||
Claude Opus 5.5Anthropicanthropic/claude-opus-5.5 | 1M | 128k | $4.00 | $20.00 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-5.6 Sol ProOpenAIopenai/gpt-5.6-sol-pro | 1.05M | 128k | $4.00 | $20.00 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-5.6 SolOpenAIopenai/gpt-5.6-sol | 1.05M | 128k | $4.00 | $20.00 | ReasoningJSONToolsCacheVision | No route yet |
Questions about Muse Wonder
- How much does Muse Wonder cost?
- On the OpenRouter route, Muse Wonder costs $4.00 per 1 million input tokens and $20.00 per 1 million output tokens, in US dollars. Input tokens that Muse Wonder reads from the prompt cache cost $0.20 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Muse Wonder?
- Muse Wonder has a context length of 1,048,576 tokens and returns up to 943,718 output tokens in one call.
- What inputs does Muse Wonder accept?
- Muse Wonder accepts these inputs: Text, Image, File, Audio, Video. Muse Wonder returns: Text.
- Which reasoning effort levels does Muse Wonder support?
- Muse Wonder supports these reasoning effort levels: max, xhigh, high, medium, low, minimal. Reasoning is always on for Muse Wonder and cannot be turned off.
- Can I test Muse Wonder on my own data?
- Not yet. LLMCompare lists the prices and parameters of Muse Wonder, but no route to Muse Wonder is configured on LLMCompare, so it cannot be selected for an evaluation.