We’re thrilled to share that as of today, Gemini 3 Pro is available in Rogo. 

Gemini 3 Pro is Google DeepMind’s newest AI model, designed for complex reasoning and native multimodality. Early assessments point to its ability to comprehend a large range of data types and tackle complicated issues across different information sources.

The Rogo team is proud to have participated in Google Gemini’s early access program. We partnered closely with the Gemini post-training team to shape model behavior around the specialized requirements of Rogo’s financial use cases. Our early analysis indicates that it significantly outperforms other frontier models, including Gemini 2.5 Pro. It represents a meaningful leap in reasoning and analytical competencies.  

Evaluations

In our head-to-head evaluations, we found that Gemini 3 Pro consistently delivers superior performance to that of other frontier models. These evaluations were conducted using custom-trained models designed to rigorously measure multiple dimensions of response quality including helpfulness, source credibility, formatting precision, conciseness, and factual correctness. Across each of these criteria, Gemini 3 Pro consistently achieved higher aggregate scores and showed greater stability in its responses translating into more dependable reasoning, clearer explanations, and stronger factual accuracy for financial analysis and decision-making.

Additionally, Gemini 3 Pro demonstrates broader parametric knowledge and produces more synthesized, expert-like answers without hallucinations. In practice, this reflects a shift toward more fluent, knowledge-forward reasoning that leverages the model's deeper latent intelligence, delivering more insightful answers without sacrificing response accuracy or auditability. 

In Conclusion

This release highlights one of Rogo’s defining advantages: a truly model-agnostic architecture. By decoupling retrieval, verification, and reasoning from the underlying model(s), we can freely experiment, evaluate, and deploy with minimal engineering overhead. Coupled with our custom evaluation pipelines, this flexibility turns model experimentation from a multi-week effort into a routine operation, allowing us to integrate new frontier models and immediately measure performance with full transparency and auditability. 

In short, as frontier models grow more intelligent and shift toward increasingly synthesized and expressive reasoning, Rogo ensures these advances are delivered in a form that remains verifiable, interpretable, and aligned with the trust and regulatory standards financial institutions expect. Our collaboration with the Gemini team has been focused on exactly this: shaping the model’s strengths to better serve the rigor, transparency, and analytical depth required by Rogo’s customers.

We’re excited to be able to roll this out to Rogo users, effective immediately.