Meta's rapid iteration on the Muse Spark series, with 1.2 launching August 5 just weeks after 1.1, drives trader sentiment on the timing of a 1.3+ release. Meta Superintelligence Labs continues scaling agentic capabilities, multimodal reasoning, and coding performance through expanded training on diverse environments, while advancing its open-weights approach after the mid-August Muse Glimmer release and promises for 1.2 weights. A larger internal frontier model referred to as Watermelon remains in training. Competitive pressure from OpenAI, Anthropic, and Google on efficiency and developer tools, combined with Meta Model API expansions, positions a potential 1.3 update focused on long-context agentic workflows as the next logical step before October.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedAugust 31
5%
September 30
52%
September 15
30%
$3,540 Vol.
August 31
5%
September 30
52%
September 15
30%
A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 would qualify, including a new whole-number generation such as Muse Spark 2, while models whose name does not include "Muse Spark" or which retain a version designation below 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), Muse Glimmer, or Muse Image, will not qualify.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must either be clearly defined and publicly announced by Meta as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The primary resolution source for this market will be official information from Meta, with additional verification from a consensus of credible reporting.
Market Opened: Aug 14, 2026, 5:32 PM ET
Resolver
0x65070BE91...A qualifying model must have a name or model identifier that includes "Muse Spark" and be designated as version 1.3 or higher, regardless of capitalization, hyphenation, spacing, or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 1.3 or higher named in the same manner as Muse Spark 1.1 or Muse Spark 1.2 would qualify, including a new whole-number generation such as Muse Spark 2, while models whose name does not include "Muse Spark" or which retain a version designation below 1.3, such as Muse Spark 1.2 (including any open-weight re-release of it), Muse Glimmer, or Muse Image, will not qualify.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must either be clearly defined and publicly announced by Meta as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The primary resolution source for this market will be official information from Meta, with additional verification from a consensus of credible reporting.
Resolver
0x65070BE91...Meta's rapid iteration on the Muse Spark series, with 1.2 launching August 5 just weeks after 1.1, drives trader sentiment on the timing of a 1.3+ release. Meta Superintelligence Labs continues scaling agentic capabilities, multimodal reasoning, and coding performance through expanded training on diverse environments, while advancing its open-weights approach after the mid-August Muse Glimmer release and promises for 1.2 weights. A larger internal frontier model referred to as Watermelon remains in training. Competitive pressure from OpenAI, Anthropic, and Google on efficiency and developer tools, combined with Meta Model API expansions, positions a potential 1.3 update focused on long-context agentic workflows as the next logical step before October.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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