Gemini 3.1 Flash-Lite: Fastest Cost-Efficient Gemini 3 Model

🔑 Enhanced Key Takeaways

• •Priced at $0.25 per 1M input tokens and $1.50 per 1M output tokens, significantly lower than larger models like Gemini 3.1 Pro.
• •Supports multimodal inputs including text, images, audio, video, and PDF with 1M token context window and 64K output tokens.
• •Achieves Elo score of 1432 on Arena.ai, 86.9% on GPQA Diamond, and 76.8% on MMMU Pro benchmarks.
• •Optimized for tasks like translation, transcription, lightweight agentic workflows, and data extraction at high volume.
• •Available in preview via Gemini API in Google AI Studio and Vertex AI for developers and enterprises.

🛠️ Technical Deep Dive

• •Based on Gemini 3 Pro architecture; refer to Gemini 3 Pro model card for detailed architecture.
• •Inputs: Text, images, audio, video files; up to 1M token context window.
• •Outputs: Text, up to 64K tokens.
• •Trained using JAX and ML Pathways on TPUs for efficiency and sustainability.
• •Features adjustable thinking levels (minimal, low, medium, high) to balance quality and speed.
• •Model ID: gemini-3.1-flash-lite-preview; knowledge cutoff January 2025.

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline