Meta: Muse Wonder
Meta: Muse Wonder accepts text, image, video, audio, and file inputs, so a single model can cover mixed-media workloads without routing between specialized systems. It offers a context window of 1,048,576 tokens and allows up to 943,718 completion tokens, which suits long documents, large codebases, or extended transcripts. It supports tool calling and reasoning; structured output support is not specified in the available data. At $4.00 per million input tokens and $20.00 per million output tokens, this sits at a premium price point, and output-heavy jobs will add up quickly. Its blended benchmark score of 90.2 comes from a single independent benchmark (ai_index 86.4), so its standing is promising but thinly evidenced. Teams that need very long context and broad multimodal input should shortlist it. They should validate it on their own tasks before committing at this cost.
Benchmark results
Independent, published benchmarks. Blended score 90.2 across 1 benchmark, last refreshed 2026-10-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 86.4 |
- Model ID
- meta/muse-wonder
- Vendor
- meta
- Released
- October 2026
- Tokenizer
- Other
- Input Modalities
- text, image, video, file, audio
- Output Modalities
- text
- Max Output
- 943,718 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- ✓ accepts audio
- Moderated
- yes
What it costs in practice
Computed from the current $4.00/M input and $20.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.15 |
| Classify 1,000 customer emails | 500k in / 50k out | $3.00 |
| A month of a busy support chatbot | 5M in / 2M out | $60.00 |
Strong choice for
Category rankings
Where Meta: Muse Wonder places across the 12 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #1 | TTS ReplacementVoice · of 25 ranked | 115 |
| #5 | Audio SummarizationVoice · of 25 ranked | 151 |
| #5 | Video SummarizationVideo · of 25 ranked | 151 |
| #18 | Frontend Component DesignCode · of 25 ranked | 132 |
| #18 | Screenshot DebuggingVision · of 25 ranked | 134 |
| #18 | Chart & Graph ReadingVision · of 25 ranked | 138 |
| #20 | Math TutoringEducation · of 25 ranked | 129 |
| #20 | Diagram ExtractionVision · of 25 ranked | 133 |
| #22 | Financial AnalysisProfessional · of 25 ranked | 133 |
| #22 | Fitness CoachingPersonal · of 25 ranked | 120 |
| #23 | Browser AutomationAgents · of 25 ranked | 140 |
| #23 | Experiment DesignResearch · of 25 ranked | 133 |
Similar models
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Meta: Muse Spark 1.2
Meta: Muse Spark 1.1
Meta: Muse Glimmer 30B
Quick answers
- How much does Meta: Muse Wonder cost?
- $4.00 per million input tokens and $20.00 per million output tokens.
- What is Meta: Muse Wonder's context window?
- 1,048,576 tokens, roughly 1,572 pages of text in a single request.
- Does Meta: Muse Wonder support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Meta: Muse Wonder process images?
- Yes, it accepts image input.