
Chamath Palihapitiya Says Meta Is Playing 'Scorched Earth' With AI Pricing— Its $0.69 Model Just Proved It Works
Venture capitalist Chamath Palihapitiya describes Meta's $0.69 AI model, Muse Spark 1.2, as a 'scorched earth' strategy that positions the company to dominate the AI sector. The model ranked fifth on the Vals Index with high accuracy and low latency, significantly undercutting competitors like OpenAI and Anthropic. Palihapitiya argues this aggressive pricing creates a decisive moat amid emerging hardware constraints, placing severe financial pressure on rivals.
Venture capitalist Chamath Palihapitiya has praised Meta Platforms Inc.’s (NASDAQ:META) aggressive pricing model following new performance benchmarks showing its $0.69 AI model, Muse Spark 1.2, cracking the top five on the Vals Index.
A ‘Scorched Earth’ Strategy in AI
Characterizing the move as “Tactical Game Theory: Meta Scorched Earth,” Palihapitiya stated that undercutting rival pricing structures equips Meta to dominate the sector as hardware and energy bottlenecks intensify across the industry.
Tactical Game Theory: Meta Scorched Earth
— Chamath Palihapitiya (@chamath) August 6, 2026
This should have been Meta’s play two years ago. That said, they are in an even better position to do it now considering the power and compute constraints that are emerging. https://t.co/AIPM6wGzT0
Read Also: Google Limits Meta's Access To Gemini AI Models Amid Rising Demand: Report
Timing and Emerging Compute Constraints
Commenting on Meta’s pricing strategy, Palihapitiya highlighted how economic efficiency becomes a decisive moat during periods of hardware scarcity.
While admitting that “this should have been Meta’s play two years ago,” Palihapitiya argued that the tech giant is “in an even better position to do it now considering the power and compute constraints that are emerging.”
By delivering high-accuracy AI capabilities at a fraction of the operational expense required by rivals, Meta’s strategy places severe financial pressure on competitors operating with substantially higher test costs.
Cracking the Top Five at $0.69
According to the latest Vals Index benchmark across finance and coding tasks, Meta’s Muse Spark 1.2 debuted in fifth place, climbing four spots from Muse Spark 1.1. Muse Spark 1.2 registered a 71.88% accuracy rate and a latency of 630 seconds at a cost of just $0.69 per test.
The model is three times cheaper than Moonshot’s Kimi K3 ($2.34 at 74.70% accuracy) and over ten times cheaper than leading market offerings.
These include Anthropic’s Claude Fable 5 ($11.00 at 75.14%) and Claude Opus 5 ($8.54 at 74.82%), as well as OpenAI’s GPT-5.6 Sol ($7.46 at 73.12%).
Market Impact and Benchmark Standings
Beyond cost advantages, Muse Spark 1.2 demonstrated faster performance with a latency of 630 seconds, outperforming top-tier models like Claude Opus 5 (1182s) and Kimi K3 (1224s).
The Vals Index rankings also placed Meta ahead of prominent models such as Claude Opus 4.8 ($7.55) and GPT 5.5 ($4.60), reinforcing Meta’s growing competitive threat across the AI landscape.
How Has META Performed In 2026?
META shares dropped 10.80% year-to-date, up 1.01% over the last month, and lower by 22.88% over the year. It closed 0.14% higher at $588.77 per share on Wednesday, and it was up 0.77% in premarket on Thursday.
Benzinga’s Edge Stock Rankings indicate that META maintains a weak price trend in the long, short, and medium terms, with a good quality score.
Read Also: SpaceX Bulls Pile Into $111 Calls Ahead of 911 Million-Share Unlock: Here's What to Know
Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
Image via Shutterstock
