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.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया$12,666 वॉल्यूम
30 सित, 2026
30 सितंबर
5%
31 अक्टूबर
74%
30 नवंबर
93%
$12,666 वॉल्यूम
30 सितंबर
$3,455 वॉल्यूम
5%
31 अक्टूबर
$6,452 वॉल्यूम
74%
30 नवंबर
$2,759 वॉल्यूम
93%
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.
बाज़ार खुला: Sep 4, 2026, 10:35 AM ET
वॉल्यूम
$12,666समाप्ति तिथि
30 नव, 2026बाज़ार खुला
Sep 4, 2026, 10:35 AM ETरिज़ॉल्वर
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.
वॉल्यूम
$12,666समाप्ति तिथि
30 नव, 2026बाज़ार खुला
Sep 4, 2026, 10:35 AM ETरिज़ॉल्वर
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.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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