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Model comparison
Muse Wonder vs Muse Spark 1.3
Compare Muse Wonder and Muse Spark 1.3 using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Muse WonderMeta | Meta | $0.034 |
| Muse Spark 1.3Meta | Meta | No reviewed rate |
Quick take
Muse Wonder
Meta's model for extended coding projects, research and agents that work across files and tools.
Best for
- Codebase changes
- Multi-step workflows
- Long-document analysis with tools
Watch out for
API Standard mode and Muse Code subscriptions have different data settings. Check Contributor mode before sending private code or documents.
Muse Spark 1.3
Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Best for
- Long-horizon coding and agent projects
- Tool workflows that need user checkpoints
- Multimodal work over files, images, video, and PDFs
Watch out for
Meta's public launch does not publish every operational limit or one complete API data-use commitment. Check the live model page, price, region, retention controls, and maximum output before production.
Compare the published facts
Muse Wonder vs Muse Spark 1.3
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | Muse Wonder | Muse Spark 1.3 |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1,048,576 tokens | 1M active context management in the Muse Spark API family |
| Maximum outputProvider-published response limit, where available. | Not published | Not separately published |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | Not published | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $4 / 1M | See live Meta Model API price |
| Output priceCurrent standard list price per million output tokens unless noted. | $20 / 1M | See live Meta Model API price |
| InputsMedia types accepted by the listed model endpoint. | Text, image, video, audio, PDF | Text, image, video, PDF |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Tool calling, structured output, search grounding, computer use | Parallel tools, coding, long-running agents, high reasoning |
How to choose
Compare the job, not the hype.
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Muse Wonder
Meta API Standard mode does not use content for training. Muse Code subscriptions default to Contributor mode, which permits training; you can turn it off.
Provider and API links
Muse Spark 1.3
The public Muse Spark model and release pages reviewed do not state one complete API retention or training-use commitment. Check the current Meta Model API terms and account controls before using private data.
Provider and API links
Frequently asked questions
Muse Wonder vs Muse Spark 1.3 FAQ
What is the main difference between Muse Wonder and Muse Spark 1.3?
Muse Wonder: Meta's model for extended coding projects, research and agents that work across files and tools. Muse Spark 1.3: Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Should I choose Muse Wonder or Muse Spark 1.3?
Consider Muse Wonder when your priority is Codebase changes. Consider Muse Spark 1.3 when your priority is Long-horizon coding and agent projects. Test both with your own data and provider route before committing.
Is this Muse Wonder vs Muse Spark 1.3 comparison based on Cody benchmarks?
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.