Meta releases Muse Spark 1.1 with 1M tokens for developers
Meta is launching Muse Spark 1.1, a multimodal AI model featuring a one-million-token context window, available to external developers via the Meta Model API since July 9, 2024.

Vad har hänt?
On July 9, 2024, Meta released Muse Spark 1.1 and made it available to external developers through a public preview of the Meta Model API. Muse Spark 1.1 is a multimodal reasoning model designed for agentic tasks, featuring improvements in tool usage, computer interaction, coding, and multimodal understanding compared to the previous version.
Key facts
| Lanseringsdatum | 9 juli 2024 |
|---|---|
| Kontextstorlek | 1 miljon tokens |
| Tillgänglighet | Offentlig förhandsvisning via Meta Model API |
| Modelltyp | Multimodal resonemangsmodell för agentiska uppgifter |
”opening Muse Spark 1.1 to developers through the Meta Model API - high intelligence at one of the best price points in the market.”
”to make sure it's secure”
”publishing the full results alongside the model, covering what we tested, what we found, and how we mitigated the risks.”
Varför spelar det roll?
Making Muse Spark 1.1 available to developers marks a step toward offering advanced AI capabilities to a wider audience. The model's one-million-token context window enables the processing of larger and more complex datasets. Meta has also published a safety report highlighting risk assessments in chemical, biological, cybersecurity, and loss-of-control domains, as well as how these risks have been mitigated.
Vem påverkas?
Developers and companies working with AI applications are the primary stakeholders, as they gain access to an advanced agentic and multimodal AI model. Users of future applications will also be indirectly affected by these advancements.
Hur påverkas EU?
Not relevant for EU status. The product is currently a developer preview rather than a consumer product.
Vad mer bör du veta?
Joel Kaplan, Meta's Chief Global Affairs Officer, confirmed the launch via LinkedIn, emphasising the model's high intelligence and competitive pricing. He also highlighted that Meta has stress-tested the model to ensure safety, with the results of these tests now published.
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