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Google Ships New Gemini Flash Models, But Pro Is Still Missing

By Diego Whitfield · · 2 min read

Google has released a fresh batch of Gemini AI models, expanding its lightweight and specialized offerings while its flagship Pro tier remains conspicuously absent from the lineup.

New Models Hit the Market

The company rolled out several additions to its Gemini family, including Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. These models are designed for speed and efficiency, targeting developers and applications that prioritize quick responses and lower computational costs over raw reasoning power.

Alongside the consumer-facing releases, Google also introduced a specialized model tailored for cybersecurity tasks. Access to this model is restricted, reflecting the sensitive nature of security-focused AI tools and the potential for misuse if deployed without safeguards.

The lightweight models are shipping fast, but the heavyweight everyone wants is still stuck in the lab.

The Missing Pro Tier

Notably absent from the release is Gemini 3.5 Pro, which appears to be stuck in a prolonged testing phase. The Pro tier typically represents Google's most capable models, aimed at demanding workloads that require deeper reasoning and more nuanced output.

The delay has drawn attention given how quickly the Flash variants have moved through the pipeline. Users and developers waiting for the more powerful Pro model have been left without a clear timeline for when it might finally arrive.

A Glimpse of What's Next

Adding to the intrigue, Google has quietly hinted at Gemini 4, suggesting the company is already looking beyond its current generation even as parts of the 3.x lineup remain incomplete. The tease raises questions about how the roadmap will unfold.

Here's a quick breakdown of the current state of play:

  • Gemini 3.6 Flash and 3.5 Flash-Lite are now available
  • A restricted cybersecurity-focused model has launched
  • Gemini 3.5 Pro remains in testing with no firm release date
  • Gemini 4 has been teased but not detailed

The staggered rollout underscores the competitive pressure in the AI race, where companies are eager to demonstrate momentum even when their most anticipated products aren't yet ready for prime time.

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