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Muse Spark 1.3

Meta's closed reasoning model for agents, sold at two prices with the cheaper one for traffic Meta uses to improve its products.

Totale
Non dichiarato
Attivi
Non dichiarato
Esperti
Non dichiarato
Contesto
1M token
Ingresso
text, image, video, audio, PDF
Uscita
text
Licenza
Proprietary
Pesi
Solo API

Non dichiarato da Meta

Indiceda 1 a 3

What is disclosed

The latest Muse Spark in Meta's API is version 1.3.11Meta, Meta Model API documentation, models list, read 29 September 2026. https://dev.meta.ai/docs/models Meta released it on 2 September 2026.22Meta, "Introducing Muse Spark 1.3", 2 September 2026. https://research.meta.ai/blog/introducing-muse-spark-1-3 The first Muse Spark, a closed reasoning model from Meta Superintelligence Labs, came out on 8 April 2026.33Meta, "Introducing Muse Spark", 8 April 2026. https://ai.meta.com/blog/introducing-muse-spark-msl/

Meta has not published a parameter count for any version. It has not said whether the model is a mixture of experts, and the weights are not public.11

In April Meta called the first release "a natively multimodal reasoning model", with tool use and visual chain of thought.33 It claimed the capabilities of Llama 4 Maverick with "over an order of magnitude less compute".33

The context window is 1,048,576 tokens. No maximum output is published.11 Input can be text, images, video or PDF files, and output is text.11 Audio is listed too, with a footnote: audio understanding "is currently not fully supported".11

What is new

The documentation describes 1.3 as tuned for agentic workflows. Versions 1.2 and 1.1 are still listed, as older models.11

According to the launch post, 1.3 "takes fewer turns where not needed and is less verbose". Meta engineers compared it with 1.2 and counted about 20% fewer tool calls and about 25% fewer tokens.22

With 1.3, a "max reasoning" setting reached Muse Code and the Meta Model API.22 The API page recommends it for challenging reasoning and agentic tasks.44Meta, Muse Spark page of the Meta Model API, prices per million tokens, read 29 September 2026. https://dev.meta.ai/models/muse-spark. Arithmetic: 4.25 / 0.20 = 21.25.

The post's roadmap includes "the Muse Spark open weights release" and gives no date.22 One open model distilled from Muse Spark already exists, Muse Glimmer 30B.55Meta Superintelligence Labs, Muse Glimmer model card, August 2026, which calls the model "distilled from Muse Spark". https://huggingface.co/meta-models/Muse-Glimmer-30B

Using it

Version 1.3 has two ids in the API. They differ in price and in what Meta does with the traffic.44

muse-spark-1.3 costs $1.25 per million input tokens and $4.25 per million output tokens. Meta says traffic on it is not used to improve its products.44

Traffic on the other id, muse-spark-1.3-contributor, is used to improve Meta's products. Its output costs $0.20 per million tokens, about 21 times less (4.25 / 0.20). Input costs $0.10.44

Cached input
Tokens the API has already processed in an earlier request, such as a long system prompt, billed again at a lower rate.

Cached input costs $0.15 per million tokens on the standard id and $0.002 on the contributor one.44

Cached input
Tokens the API has already processed in an earlier request, such as a long system prompt, billed again at a lower rate.

Note

  1. Meta, Meta Model API documentation, models list, read 29 September 2026. https://dev.meta.ai/docs/models 2 3 4 5 6

  2. Meta, "Introducing Muse Spark 1.3", 2 September 2026. https://research.meta.ai/blog/introducing-muse-spark-1-3 2 3 4

  3. Meta, "Introducing Muse Spark", 8 April 2026. https://ai.meta.com/blog/introducing-muse-spark-msl/ 2 3

  4. Meta, Muse Spark page of the Meta Model API, prices per million tokens, read 29 September 2026. https://dev.meta.ai/models/muse-spark. Arithmetic: 4.25 / 0.20 = 21.25. 2 3 4 5

  5. Meta Superintelligence Labs, Muse Glimmer model card, August 2026, which calls the model "distilled from Muse Spark". https://huggingface.co/meta-models/Muse-Glimmer-30B

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