- Google’s Gemini 2.5 Pro is getting an update to improve its coding
- The update fixes previous issues with formatting and coherence
- The model is expected to become Gemini Pro’s first official stable release
Google’s rapid rollout of new models of Gemini is continuing apace, but the latest version of Gemini 2.5 Pro has some notable improvements that the company claims will put it in play for a while as the first “long-term stable release.” The upgrade also patches up some of the issues that might currently frustrate Gemini Pro users.
For now, the model is still in beta, unlike its friskier sibling, Gemini 2.5 Flash. Gemini Pro 2.5 has reportedly taken longer and dealt with some complicated issues around regressions in conversation that made the AI model seem somewhat underpowered as a brain. Those issues have apparently been resolved, with Google bragging about the coding capabilities of the new model in particular. It’s outscored rival models on the Aider Polyglot benchmark, a multi-language coding test popular for measuring AI model software composition.
The updated model also offers developers what Google calls “configurable thinking budgets.” These are essentially a way to fine-tune how much computing power Gemini uses to answer complex queries so that you don’t use up all of your credits building an app in one go. It’s already available through Google AI Studio and Vertex AI, and will likely become part of Gemini as a whole in the near future.
Gemini Pro power
And it’s not just a technical whiz. Gemini Pro has faced complaints of lacking the same creative and conversational flair of its fellow Gemini models, failing to impress outside of technical tasks. The writing and formatting could get sloppy, and long-form responses tended to ramble or circle back on themselves. Google says it’s fixed that issue, with correct formatting, more nuanced writing, and no trailing off mid-response.
All of those upgrades lead to why Google has declared this version of Gemini Pro to be a long-term, stable model, at least for now. For developers and enterprise users, that kind of certainty is valuable in its own right, just as much as regular upgrades.
The new model will have an impact on Gemini users outside of the office, too. The same improvements to formatting, memory, and contextual understanding will likely be incorporated into the public-facing version of Gemini just to keep things neat. And it fits with Google’s strategy to embed Gemini everywhere and encourage everyone to use it for any of their AI needs. Gemini Flash is the default option for those not paying a subscription fee for Gemini. Gemini Nano handles AI for Android devices, but Gemini Pro is intended to be the flagship model, the one that impresses everyone.
Google will definitely try to live up to that vision with the new model, but the competition has hardly gone away. OpenAI, Anthropic, and even Apple are all racing to be on top of the AI model game. Gemini 2.5 Pro proves Google won’t be falling behind any time soon, at least now that it’s stopped regressing.
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