Best for long context
Large context window for documents and transcripts.
Model · Meta
Muse Wonder is served by Meta through OpenRouter. It provides 1.05M tokens of context and supports text, vision, audio, video, files inputs.
| Provider | Meta |
| OpenRouter ID | meta/muse-wonder |
| Modalities | Text, Vision, Audio, Video, Files |
| Best for | Agents, Long Context, Multimodal |
openrouter.ai/api/v1/models Verified 2026-10-16 Drift-checked daily 06:00 CST Best for long context
Large context window for documents and transcripts.
Best multimodal
Handles images, files, audio or video inputs.
Best for agents
Tool use, structured output and multi-step reasoning.
These examples use the 2026-10-16 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.
| Workload | Input | Output | Estimated cost |
|---|---|---|---|
| Quick test | 20,000 | 5,000 | $0.180 |
| Product chat month | 500,000 | 125,000 | $4.50 |
| Document batch | 5,000,000 | 1,000,000 | $40.00 |
Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta/muse-wonder",
"messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
"max_tokens": 500
}' const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "meta/muse-wonder",
messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
max_tokens: 500,
}),
});
const data = await response.json();
console.log(data.choices[0].message.content); Compare models View on OpenRouter ↗
Muse Wonder is a Meta model available through OpenRouter. It supports text, vision, audio, video, files inputs and is suited for agents, long context, multimodal workloads.
The 2026-10-16 snapshot lists $4.00 per 1M input tokens and $20.00 per 1M output tokens. Verify current pricing on OpenRouter before production.
Muse Wonder offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.
For the first time a Meta model is not the cheap option, so the decision stops being about price and becomes about what you actually need: Muse Wonder carries a 943,718-token output ceiling and reads video and audio, which Opus 5.5 does not, while Opus 5.5 leads the independent index. If your workload is long outputs or media in, the ceiling and the modalities may matter more than six index points.
Pricing and context data are based on a 2026-10-16 snapshot. Provider limits can change; always verify on OpenRouter before production.