Meta’s Superintelligence Labs, led by Alexandr Wang, has accelerated its Muse Spark iteration cadence since launching the initial closed-source model in April 2026. Version 1.1 followed in July with gains in agentic tool use, coding, and multimodal reasoning, accompanied by a public Meta Model API preview and paid token pricing that directly competes with OpenAI and Anthropic offerings. The 1.2 update arrived August 5, continuing the focus on performance-efficiency improvements. Traders monitor release velocity, internal scaling signals, and Meta’s earnings commentary for clues on 1.3+ timing, while noting that product timelines in frontier AI often shift due to benchmark results or competitive positioning.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoProssimo Meta Muse Spark (1.3+) rilasciato da...?
Prossimo Meta Muse Spark (1.3+) rilasciato da...?
NUOVO
31 ago 2026
31 agosto
39%
30 settembre
52%
$21 Vol.
31 agosto
$0 Vol.
39%
30 settembre
$21 Vol.
52%
This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
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.Meta’s Superintelligence Labs, led by Alexandr Wang, has accelerated its Muse Spark iteration cadence since launching the initial closed-source model in April 2026. Version 1.1 followed in July with gains in agentic tool use, coding, and multimodal reasoning, accompanied by a public Meta Model API preview and paid token pricing that directly competes with OpenAI and Anthropic offerings. The 1.2 update arrived August 5, continuing the focus on performance-efficiency improvements. Traders monitor release velocity, internal scaling signals, and Meta’s earnings commentary for clues on 1.3+ timing, while noting that product timelines in frontier AI often shift due to benchmark results or competitive positioning.
This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
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.
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.
Mercato aperto: Aug 14, 2026, 5:32 PM ET
Volume
$21Data di fine
30 set 2026Mercato aperto
Aug 14, 2026, 5:32 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
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.Meta’s Superintelligence Labs, led by Alexandr Wang, has accelerated its Muse Spark iteration cadence since launching the initial closed-source model in April 2026. Version 1.1 followed in July with gains in agentic tool use, coding, and multimodal reasoning, accompanied by a public Meta Model API preview and paid token pricing that directly competes with OpenAI and Anthropic offerings. The 1.2 update arrived August 5, continuing the focus on performance-efficiency improvements. Traders monitor release velocity, internal scaling signals, and Meta’s earnings commentary for clues on 1.3+ timing, while noting that product timelines in frontier AI often shift due to benchmark results or competitive positioning.
This market will resolve to "Yes" if Meta's next Muse Spark model (1.3+) is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to "No".
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.
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.
Volume
$21Data di fine
30 set 2026Mercato aperto
Aug 14, 2026, 5:32 PM ETResolver
0x65070BE91...Meta’s Superintelligence Labs, led by Alexandr Wang, has accelerated its Muse Spark iteration cadence since launching the initial closed-source model in April 2026. Version 1.1 followed in July with gains in agentic tool use, coding, and multimodal reasoning, accompanied by a public Meta Model API preview and paid token pricing that directly competes with OpenAI and Anthropic offerings. The 1.2 update arrived August 5, continuing the focus on performance-efficiency improvements. Traders monitor release velocity, internal scaling signals, and Meta’s earnings commentary for clues on 1.3+ timing, while noting that product timelines in frontier AI often shift due to benchmark results or competitive positioning.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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