HunterAlphaHub
OpenRouter model reference Facts from the public catalogue, dated and labelled
Jev Laya Verified
2026-10-16

Model · Meta

Muse Wonder

Muse Wonder is served by Meta through OpenRouter. It provides 1.05M tokens of context and supports text, vision, audio, video, files inputs.

Snapshot 2026-10-16 meta/muse-wonder Muse Wonder Full, the Muse Code tiers and the independent scores →
Context window
1.05M tokens
Input / 1M tokens
$4.00
Output / 1M tokens
$20.00

Key facts

Provider Meta
OpenRouter ID meta/muse-wonder
Modalities Text, Vision, Audio, Video, Files
Best for Agents, Long Context, Multimodal
Source openrouter.ai/api/v1/models Verified 2026-10-16 Drift-checked daily 06:00 CST

Best-fit workloads

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.

Cost estimates

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

Strengths

  • ✓ 1,048,576-token window with a 943,718-token output ceiling — the largest output allowance in this hub
  • ✓ Reads text, image, video, audio and files: the widest input set here, level with Gemini 3.8 Flash
  • ✓ Cached reads at $0.20 per million, a twentieth of the input price, which is what a long agent run spends

Limitations

  • ! At $4 / $20 per million it costs the same as Claude Opus 5.5 — the end of Meta's discount pricing, since Muse Spark 1.3 is $1.25 / $4.25
  • ! Muse Wonder Full, the stronger model in the same release, is not on OpenRouter: Meta ships it to Muse Code subscribers only
  • ! Artificial Analysis scores it 52 on its Intelligence Index against 58 for Claude Opus 5.5 and 53 for GPT-6 Astra (read 2026-10-14); the benchmark table in Meta's launch post is Meta's own

OpenRouter API quickstart

Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.

cURL

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
  }'

JavaScript / TypeScript

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);

How to evaluate Muse Wonder

  1. Run five real tasks from your product, not generic demo prompts.
  2. Record token usage, latency and output quality.
  3. Estimate cost using your real input/output mix.
  4. Compare it against one model with a similar price and one stronger model.

Compare models View on OpenRouter ↗

Muse Wonder FAQ

What is Muse Wonder?

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.

How much does Muse Wonder cost on OpenRouter?

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.

How large is Muse Wonder's context window?

Muse Wonder offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.

Head-to-head comparisons

Muse Wonder vs Claude Opus 5.5

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.

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