Analysis Summary
Meta Muse Spark 1.2 Contributor is a multimodal model with a 1M-token context window and support for text, images, files, audio, and video. Tool use and function calling make the interface relevant to workflow automation, while the listed pricing supports experimentation and volume-oriented deployments.
Those capabilities could serve document intake, media summarisation, structured content production, and applications that need to connect model responses with external actions. The broad modality coverage is useful for agency workflows involving briefs, screenshots, recordings, and client assets. However, benchmark data for this Contributor variant is unavailable, so reasoning quality, coding performance, and production reliability remain unverified.
Use it for controlled pilots and multimodal prototypes first. Keep stronger benchmarked models in charge of high-stakes analysis and final client-facing output until independent evaluation is available.
Assessed August 23, 2026
Editorial notes
Muse Spark 1.2 Contributor offers a 1M-token context, vision, audio, video, file handling, tools, and function calling at low prices. Its broad interface is attractive, but this variant has no published benchmark data.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Muse Spark 1.2 Contributor offers a 1M-token context, vision, audio, video, file handling, tools, and function calling at low prices. Its broad interface is attractive, but this variant has no published benchmark data.
How Meta: Muse Spark 1.2 Contributor compares
Its 1M-token context window is larger than 94% of the models we list. At $0.10 per million input tokens it is cheaper than 70% 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 1.2 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Muse Spark 1.2 Contributor for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Muse Spark 1.2 Contributor
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark..
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Frequently asked questions about Meta: Muse Spark 1.2 Contributor
How much does Meta: Muse Spark 1.2 Contributor cost?
Meta: Muse Spark 1.2 Contributor costs $0.10 per million input tokens and $0.20 per million output tokens.
What is the context window of Meta: Muse Spark 1.2 Contributor?
Meta: Muse Spark 1.2 Contributor has a context window of 1,048,576 tokens (1M).
What can Meta: Muse Spark 1.2 Contributor do?
Meta: Muse Spark 1.2 Contributor supports image/vision input, tool use, and function calling.
Who created Meta: Muse Spark 1.2 Contributor?
Meta: Muse Spark 1.2 Contributor is developed by Meta and was released on August 21, 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 3, 2026 8:38 pm