1. Advanced Reasoning for Diverse Domains

• Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.

2. Multi-Modal & Long-Form Capabilities

• Handles both text and image inputs, producing text output.
• Allows up to 128 k output tokens for lengthy responses.

3. Large Context & Updated Knowledge

• 400 k token context window accommodates extensive codebases or documents.
• Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.

1. Strong all-purpose performance

• Designed as Google's balanced middle-tier model.
• Handles a wide range of tasks: reasoning, writing, coding, and problem-solving.

2. Natively multimodal understanding

• Trained from the ground up on text, images, audio, and video.
• More consistent multimodal reasoning than stitched-together architectures.

3. Great cost-to-capability ratio

• Offers much of Gemini Ultra's reasoning quality at a fraction of the cost.
• Strong default choice for large-scale production workloads.

4. Reliable reasoning and factual performance

• Performs well on benchmarks like MMLU, MMMU, and code reasoning.
• Handles long-form analysis, multi-step reasoning, and structured problem solving.

5. Advanced coding capabilities

• Supports major languages such as Python, Java, C++, Go.
• Generates, edits, debugs, and explains code with high accuracy.
• Powers advanced coding systems like AlphaCode 2.

6. Efficient and scalable

• Optimized for Google TPUs for lower latency and faster inference.
• Suitable for batch workloads, agents, and complex multi-step pipelines.

7. Strong multimodal reasoning

• Understands math, physics, and scientific diagrams.
• Handles mixed data inputs (charts + text, screenshots + instructions, etc.).

8. Enterprise-ready reliability

• Available through Google AI Studio and Vertex AI.
• Benefits from enterprise-grade governance, safety, privacy, and compliance.