Meta’s Watermelon model, the internal codename for Meta Superintelligence Labs’ next frontier large language model after Muse Spark (Avocado), remains in training as of early September 2026 with an October target reported in August coverage. Internal July updates from chief Alexandr Wang highlighted GPT-5.5 parity on unspecified benchmarks achieved via roughly 10x the compute of its predecessor, backed by Meta’s $125–145 billion infrastructure spend. Traders are watching for independent verification against open benchmarks like SWE-Bench, any public release of the model or a confirmed successor powering the Hatch agent platform, and slippage risks amid rapid iteration from OpenAI’s GPT-5.6 and Anthropic releases. A September roadmap mention of “bigger models” alongside Muse Spark 1.3 provides additional context for near-term expectations.
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On September 2, 2026, alongside the launch of Muse Spark 1.3, Meta announced a roadmap "including bigger models" (https://research.meta.ai/blog/introducing-muse-spark-1-3). Credible reporting has identified Meta's next-generation frontier model by the internal codename "Watermelon."
This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".
A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.
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 Watermelon model, the internal codename for Meta Superintelligence Labs’ next frontier large language model after Muse Spark (Avocado), remains in training as of early September 2026 with an October target reported in August coverage. Internal July updates from chief Alexandr Wang highlighted GPT-5.5 parity on unspecified benchmarks achieved via roughly 10x the compute of its predecessor, backed by Meta’s $125–145 billion infrastructure spend. Traders are watching for independent verification against open benchmarks like SWE-Bench, any public release of the model or a confirmed successor powering the Hatch agent platform, and slippage risks amid rapid iteration from OpenAI’s GPT-5.6 and Anthropic releases. A September roadmap mention of “bigger models” alongside Muse Spark 1.3 provides additional context for near-term expectations.
On September 2, 2026, alongside the launch of Muse Spark 1.3, Meta announced a roadmap "including bigger models" (https://research.meta.ai/blog/introducing-muse-spark-1-3). Credible reporting has identified Meta's next-generation frontier model by the internal codename "Watermelon."
This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".
A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.
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.
This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".
A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.
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.
Markt eröffnet: Sep 4, 2026, 10:35 AM ET
Volumen
$12,550Enddatum
30. Nov. 2026Markt eröffnet
Sep 4, 2026, 10:35 AM ETAbwickler
0x65070BE91...On September 2, 2026, alongside the launch of Muse Spark 1.3, Meta announced a roadmap "including bigger models" (https://research.meta.ai/blog/introducing-muse-spark-1-3). Credible reporting has identified Meta's next-generation frontier model by the internal codename "Watermelon."
This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".
A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.
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 Watermelon model, the internal codename for Meta Superintelligence Labs’ next frontier large language model after Muse Spark (Avocado), remains in training as of early September 2026 with an October target reported in August coverage. Internal July updates from chief Alexandr Wang highlighted GPT-5.5 parity on unspecified benchmarks achieved via roughly 10x the compute of its predecessor, backed by Meta’s $125–145 billion infrastructure spend. Traders are watching for independent verification against open benchmarks like SWE-Bench, any public release of the model or a confirmed successor powering the Hatch agent platform, and slippage risks amid rapid iteration from OpenAI’s GPT-5.6 and Anthropic releases. A September roadmap mention of “bigger models” alongside Muse Spark 1.3 provides additional context for near-term expectations.
On September 2, 2026, alongside the launch of Muse Spark 1.3, Meta announced a roadmap "including bigger models" (https://research.meta.ai/blog/introducing-muse-spark-1-3). Credible reporting has identified Meta's next-generation frontier model by the internal codename "Watermelon."
This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".
A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.
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.
This market will resolve to "Yes" if Meta releases "Watermelon" or a model confirmed to be the model referenced above, and that model is made available to the general public by the listed date (ET). Otherwise, this market will resolve to "No".
A qualifying model must be named "Watermelon" or be identified, by Meta or by a consensus of credible reporting, as the model internally codenamed "Watermelon," regardless of the name under which it is ultimately released.
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.
Volumen
$12,550Enddatum
30. Nov. 2026Markt eröffnet
Sep 4, 2026, 10:35 AM ETAbwickler
0x65070BE91...Meta’s Watermelon model, the internal codename for Meta Superintelligence Labs’ next frontier large language model after Muse Spark (Avocado), remains in training as of early September 2026 with an October target reported in August coverage. Internal July updates from chief Alexandr Wang highlighted GPT-5.5 parity on unspecified benchmarks achieved via roughly 10x the compute of its predecessor, backed by Meta’s $125–145 billion infrastructure spend. Traders are watching for independent verification against open benchmarks like SWE-Bench, any public release of the model or a confirmed successor powering the Hatch agent platform, and slippage risks amid rapid iteration from OpenAI’s GPT-5.6 and Anthropic releases. A September roadmap mention of “bigger models” alongside Muse Spark 1.3 provides additional context for near-term expectations.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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