Analysis Summary
Muse Spark 1.3 Contributor is listed with the same broad interface profile as the Muse Spark family, including a 1.05M token context window, image, file, audio, and video input, tool use, and function calling. Its low pricing makes it attractive for volume multimodal automation and asynchronous processing.
No independent benchmark data is supplied for this Contributor variant. The reduced price is valuable, but it does not establish parity with the benchmarked Muse Spark 1.3 listing. Use it in controlled pilots for classification, transformation, and routine agent steps, while reserving high-stakes reasoning and client-facing work for a verified model.
Assessed September 7, 2026
Editorial notes
Muse Spark 1.3 Contributor offers a 1.05M context window, broad multimodal input, tool use, and function calling at sharply reduced pricing. This exact variant has no benchmark data, so teams should validate quality before production use.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Muse Spark 1.3 Contributor offers a 1.05M context window, broad multimodal input, tool use, and function calling at sharply reduced pricing. This exact variant has no benchmark data, so teams should validate quality before production use.
How Meta: Muse Spark 1.3 Contributor compares
Its 1M-token context window is larger than 93% of the models we list. At $0.10 per million input tokens it is cheaper than 69% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.20 | $0.000200 |
What would Meta: Muse Spark 1.3 Contributor cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 798 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Spark 1.3 Contributor for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Muse Spark 1.3 Contributor
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information..
Explore Related Models
Frequently asked questions about Meta: Muse Spark 1.3 Contributor
How much does Meta: Muse Spark 1.3 Contributor cost?
Meta: Muse Spark 1.3 Contributor costs $0.10 per million input tokens and $0.20 per million output tokens.
What is the context window of Meta: Muse Spark 1.3 Contributor?
Meta: Muse Spark 1.3 Contributor has a context window of 1,048,576 tokens (1M).
What can Meta: Muse Spark 1.3 Contributor do?
Meta: Muse Spark 1.3 Contributor supports image/vision input, tool use, and function calling.
Who created Meta: Muse Spark 1.3 Contributor?
Meta: Muse Spark 1.3 Contributor is developed by Meta and was released on September 2, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 22, 2026 8:38 pm