Gemma 3.5 Pro 27B IT

Gemma 3.5 Pro 27B IT arrived in mid August 2026 as the newest member of Google's Gemma family. Meanwhile, it sits between the smaller Flash models and the larger flagship versions, offering a practical balance for users who need strong reasoning without the cost of the biggest models.

The model was trained on a diverse dataset that includes academic papers, code repositories, and multilingual web content, giving it a broad knowledge base that works well for research and education tasks.

Gemma 3.5 Pro 27B IT capabilities and use cases

In addition, its main capabilities include Reasoning, Coding assistance, Multilingual understanding, Instruction following and Structured output generation. For example, common use cases include Academic research, Coding projects, Multilingual content creation, Data analysis and Educational tutoring.

Who should consider Gemma 3.5 Pro 27B IT?

In practice, this model may suit Computer science students, Language learners, Research assistants, Data science beginners and Content creators. Also, notable strengths include Strong reasoning and problem solving for its size, Supports 7 major languages with high accuracy, Free tier is generous for students and small projects and Works well with structured data formats like JSON and XML. However, review trade-offs such as Not suitable for real time applications requiring sub second latency, Free tier usage is tracked and can be throttled during high demand, No native multimodal input support in this version and Fine tuning requires technical expertise and additional setup before adopting it.

Gemma 3.5 Pro 27B IT pricing and access

Meanwhile, Free tier includes 2 million tokens per month. Paid plans start at $0.50 per million input tokens and $1.50 per million output tokens. Free tier available with 2 million tokens per month

Official resources and verification

Use the official model website, official documentation, pricing or release source and additional primary source to confirm current availability, limits and pricing. Product details can change after publication, so rely on primary documentation for final decisions.

Compare with other AI models

Next, continue your research in the AI models directory, Google DeepMind models and General Purpose Language Model models. Compare providers, pricing, modalities and practical limitations side by side to choose the right model for your workflow.