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AI Industry

Meta's $135B AI Bet Is Delayed: 'Avocado' Can't Match Gemini, Meta Considers Licensing Google's AI

By Connie  ·  March 2026  ·  8 min read

TL;DR — Key Takeaways
  • Meta delayed its flagship "Avocado" AI model to at least May 2026 — the third postponement after original late 2025 and early 2026 targets.
  • Internal benchmarks: Avocado beats Gemini 2.5 but can't match Gemini 3.0, GPT-5.4, or Claude Opus 4.6 in reasoning, coding, and writing.
  • Meta leaders discussed temporarily licensing Google Gemini to power Meta AI products while Avocado is refined (NYT, March 12, 2026).
  • Meta is spending $115–135 billion in AI capex in 2026 — proving that compute spend alone doesn't guarantee frontier model performance.
  • Avocado represents Meta's shift from open-source Llama to a proprietary model strategy — a strategic pivot that is not going smoothly.
3xdelayed (originally late 2025)
$135BMeta AI capex 2026
May+new earliest release
3rivals beating Avocado

Mark Zuckerberg committed $135 billion in AI spending for 2026 — one of the largest single-year technology investments in corporate history. Yet on March 12, 2026, the New York Times reported that Meta's next flagship AI model, codenamed "Avocado," had been delayed for the third time. The reason: internal tests showed it can't match Google Gemini 3.0, OpenAI's GPT-5.4, or Anthropic's Claude Opus 4.6 in the capabilities that matter most.

More stunning still: sources told the NYT that leaders within Meta's AI division had discussed temporarily licensing Google's Gemini to power Meta AI products while Avocado undergoes further development. Meta — the company that declared AI independence with Llama and dismissed competitors as "closed" — is reportedly considering buying its AI from a rival.

The Avocado Delay: What Went Wrong

Avocado is Meta's attempt to build a proprietary frontier model to compete directly with GPT-5 and Gemini — a departure from its historical Llama open-source strategy. Here is what the reporting shows:

The Performance Gap
  • Beats: Meta's previous models (Llama 4 family), Google Gemini 2.5
  • Loses to: Google Gemini 3.0 (November 2025), OpenAI GPT-5.4 (March 5, 2026), Anthropic Claude Opus 4.6
  • Failing categories: Logical reasoning, coding, and writing — the three tasks enterprise customers prioritize most
  • Position: Would launch as a tier-2 model, not the tier-1 frontier model Meta needs to justify its $135B capex narrative

The delay is the third: Avocado was originally targeted for late 2025, moved to early 2026, then to March 2026, and now to at least May or June 2026. Each delay chips away at the window between launch and the next generation of competitor models.

The Timeline of Delays

Mid-2025 (original target)
Avocado development begins as Meta's first major proprietary frontier model, targeting late 2025 launch alongside or shortly after Llama 4.
Late 2025 (first delay)
Target pushed to early 2026. Google releases Gemini 3.0 in November 2025, raising the bar Avocado needs to clear.
Early 2026 (second delay)
Target pushed to March 2026. Internal benchmarks show persistent gaps in reasoning and coding vs. Gemini 3.0.
March 12, 2026 (third delay — NYT report)
NYT reports Avocado delayed to at least May 2026. Internal discussions about licensing Gemini to fill the gap. Meta spokesperson says the model "will be good" but no date given.
May–June 2026 (current target)
Earliest expected launch. Reuters sources cited May or June. OpenAI expected to release GPT-5.5 ("Spud") in Q2 2026, further compressing Avocado's launch window.
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The Gemini Licensing Discussions: What It Would Mean

The most striking detail in the NYT reporting: Meta leaders discussed temporarily licensing Google's Gemini to power Meta AI products. No final decision has been made. But the fact that it was discussed at all signals how seriously the company views the competitive gap.

What a Meta-Google Gemini Licensing Deal Would Mean

For users: Meta AI on WhatsApp, Instagram, and Facebook could run on Gemini in the interim — meaning Meta's 3 billion users would interact with Google's AI through Meta's interfaces.

For Google: A licensing deal would be a massive revenue stream and a stunning strategic win — directly monetizing Gemini through Meta's distribution.

For Meta: An admission that its $135B AI investment has not produced a model competitive with its rivals — and a dependency on the very company it competes with in social/consumer AI.

For the industry: A sign that the AI arms race has created a two-tier market: companies that can train frontier models (Google, OpenAI, Anthropic) and companies that spend massive amounts trying to.

Where the Frontier Models Stand: April 2026

ModelCompanyStatusKey Strengthvs. Avocado
Gemini 3.1 ProGoogleLiveLeads 13/16 benchmarks; 1M context; best price/performanceBeats Avocado
GPT-5.4OpenAILive (Mar 5, 2026)1M token context; multi-step agent workflows; 75% OSWorldBeats Avocado
Claude Opus 4.6AnthropicLiveBest coding (GDPval-AA Elo); powers GitHub Copilot agentBeats Avocado
Gemini 3.1 Flash-LiteGoogleLive2.5× faster; $0.25/M tokens; best efficiency modelFaster, cheaper
GPT-5.5 / 'Spud'OpenAIQ2 2026Pretraining complete; safety evaluations ongoingN/A (unreleased)
AvocadoMetaMay–June 2026Proprietary; beats Gemini 2.5; gaps in reasoning/codingIs Avocado
Llama 4 MaverickMetaLive (open source)400B params; best open-source model as of Q1 2026Open source only

The Open Source Pivot: What Happened to Llama?

Avocado represents a significant strategic shift for Meta. The company built its AI reputation on the Llama series of open-source models — freely available to researchers, developers, and companies worldwide. Llama 4 Maverick (400B parameters) is still the best open-source model available as of early 2026.

Avocado is different: it is a proprietary model, not to be released publicly. Meta is betting that the competitive dynamics of 2026 require a closed frontier model — the kind of model that can power Meta AI across WhatsApp, Instagram, and Facebook at the performance level users expect after using Gemini and ChatGPT.

The Tension

Meta's open-source Llama models give it enormous goodwill with developers and researchers. Avocado, if it launches as a proprietary product, signals that Meta believes open-source is a research strategy but not a consumer product strategy. The Gemini licensing discussions compound this: Meta may end up using a closed model from Google while its own proprietary closed model isn't ready yet.

What This Means for Meta AI Users

Meta AI is embedded across WhatsApp, Instagram, Messenger, Facebook, and Meta's Ray-Ban smart glasses. As of Q1 2026, it powers:

If Avocado delays until June and no Gemini licensing agreement is reached, Meta AI continues running on its current model stack — which is falling further behind GPT-5.4 and Gemini 3.1 with each passing month. The 3 billion users who interact with Meta AI daily may not notice, but enterprises comparing AI assistants will.

Related Coverage

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Frequently Asked Questions

What is Meta's "Avocado" AI model?
Avocado is Meta's next-generation proprietary AI model — a shift away from the open-source Llama strategy. It has been delayed three times (originally late 2025, then early 2026, then March 2026, now May+ 2026) after internal benchmarks showed it underperforming against Google Gemini 3.0, OpenAI GPT-5.4, and Anthropic Claude Opus 4.6 in reasoning, coding, and writing.
Is Meta really considering licensing Google Gemini?
According to the New York Times (March 12, 2026), yes — leaders within Meta's AI division discussed temporarily licensing Google's Gemini to power Meta AI products while Avocado is refined. No final decision had been made as of mid-March. A Meta spokesperson said the next model "will be good, but more importantly, show the rapid trajectory we're on."
How much is Meta spending on AI in 2026?
Meta has committed $115–135 billion in AI capital spending for 2026, including massive data center buildouts and GPU purchases. Despite this investment, Avocado's repeated delays illustrate that raw compute spend doesn't automatically produce frontier model performance. Meta's open-source Llama 4 Maverick (400B parameters) remains its most competitive public model.
How does Avocado compare to GPT-5 and Gemini?
Based on internal testing, Avocado outperforms Meta's previous models and Google's Gemini 2.5, but falls short of Google's Gemini 3.0, OpenAI's GPT-5.4, and Anthropic's Claude Opus 4.6 in logical reasoning, coding, and writing. Gemini 3.1 Pro currently leads 13 of 16 major AI benchmarks and is available now through services like Happycapy.
Sources
  • New York Times: "Meta Delays Rollout of New A.I. Model After Performance Concerns" (March 12, 2026)
  • Reuters: "Meta postpones Avocado AI model launch to May amid performance gaps" (March 2026)
  • Fortune: "Meta's Avocado AI delay, Adobe CEO change; Google Maps gets Gemini" (March 13, 2026)
  • The Next Web: "What we can learn from Avocado: The unreleased AI Meta's model" (April 2026)
  • Times of AI: "Meta's Avocado AI Delayed, May License Google Gemini" (March 2026)
  • Creati.ai: "Meta Delays 'Avocado' AI Model Launch to May Over Performance Concerns, Considers Licensing Google Gemini" (March 14, 2026)
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