Google LLC has launched another, even more capable preview of its powerful Gemini 2.5 Pro model, proclaiming it to be the “most intelligent” large language model it has released so far.

Today’s is the latest update to Gemini 2.5 Pro, which first debuted in March and was then upgraded as a preview in May, and it too is a preview, with general availability slated to come in a couple of weeks.

Google said companies can start building test applications with the new model, or alternatively replace earlier versions of Gemini 2.5 Pro in their existing applications. If they do, they may notice that it’s more creative in its responses, and performs better when generating code and reasoning, the company claimed.

Today’s update builds on the revamped version of Gemini Pro 2.5 that was announced one month earlier at Google’s I/O developer conference. That update was known as the “I/O edition,” and today’s version is called Gemini 2.5 Pro Preview 06-05 Thinking.

According to Google DeepMind Chief Executive Demis Hassabis, it has achieved superior scores in coding benchmarks compared to the earlier models. For instance, the latest iteration has improved its score on the LMArena benchmark by 24 points, while its score in WebDevArena increased by 35 points, propelling it to the top of that ranking’s leaderboard.

In addition, Google released numerous benchmarks that show how it surpasses rivals such as OpenAI’s o3, o3-mini and o4-mini, xAI Corp.’s Grok 3 Beta, DeepSeek Ltd.’s R1 and Anthropic’s Claude 4 Opus in areas such as writing code, science and math. For instance, it demonstrated improved scores across AIDER Polyglot, GPQA, HLE and several other benchmarks.

Google CEO Sundar Pichai chimed in on X that the new model has also addressed some of the feedback and criticisms it received from its earlier Gemini 2.5 Pro releases, with improvements being made to its “style and structure” that enable it to be more “creative with better-formatted responses.”

Along with the frenetic pace of Gemini 2.5 Pro’s update schedule, Google has been working to integrate the model into various applications and services. The latest version is available today in Google’s “Deep Think” application, which carefully considers various hypotheses before responding, for example.

Other ways to access it include the Gemini application programming interface, Google AI Studio and Vertex AI. It’s priced at $1.25 per million tokens without caching for inputs, and $10 per million tokens for outputs, Google said.

With the release of Gemini 2.5 Pro and the subsequent upgrades, Google has managed to steal back some of the limelight from rivals OpenAI and DeepSeek, which captured most of the headlines earlier this year with the first generation of their reasoning models.

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