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Gemini 4 Post-Training, First Version Expected by Year-End

🤖 Models & LLM·Tom Levy·

Gemini 4 Post-Training, First Version Expected by Year-End

Gemini 4 Post-Training, First Version Expected by Year-End
Key Takeaways
1Gemini 4 is already in post-training according to Google DeepMind
2A first version could be released well before the end of the year
3No technical details, pricing, benchmarks, or access modalities have been communicated
💡Why it mattersGoogle is accelerating the timeline for Gemini 4, but many uncertainties remain regarding its capabilities and availability.
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Full Analysis

Google DeepMind indicates that Gemini 4 has already passed the post-training stage. A first version is expected well before the end of the year, but no firm date, technical details, or access conditions have been provided. The announcement does not take the form of a complete official launch.

No benchmarks, no pricing, and undefined access

To date, no public information allows for an assessment of the progress made since Gemini 3. Google does not reveal the architecture, the number of parameters, or the size of the context window. Supported modalities, scores obtained during benchmarks, execution speed, pricing, and access conditions for the API have not been disclosed. No specific launch date has been announced. The company does not specify whether the initial version will be open to the general public, reserved for developers via an API, or restricted to certain services. The term "release" does not necessarily imply immediate global availability. In the absence of these elements, it is impossible to determine whether Gemini 4 will create a technical gap or simply bring the range up to par with its rivals.

Tight timeline but no firm appointment

Google hopes to offer a first version well before the end of the year, then accelerate iterations. The group presents a tight timeline, without committing to a specific date. The mentioned perspective remains compatible with an arrival well before December 2026. The information is not delivered as part of a complete official announcement, leaving many unknowns regarding the concrete modalities.

Post-training confirmed and focus on rapid updates

Koray Kavukcuoglu, who has just been appointed to lead Google DeepMind, states that Gemini 4 is already in the post-training phase. This stage, which follows the initial training, aims to refine the model's behavior before it becomes available. According to the executive, the performance observed internally encourages DeepMind to accelerate the process, promising regular updates after the initial launch. Despite this confirmation of progress, Google currently provides no technical details to evaluate the model.

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