Google Gemini
Gemini 3.1 Pro - The Most Advanced Reasoning Model
Best for: Organisations requiring the most advanced reasoning, agentic capabilities, massive context windows, and deep integration with the Google Cloud ecosystem.
Google Gemini 3.1 Pro is Google's most advanced reasoning model, released in February 2026. It significantly outperforms Gemini 3 Pro across reasoning and multimodal benchmarks, scoring 77.1% on ARC-AGI-2. With a 1M-token context window, Deep Think mode for gold-medal-level problem solving, and native multimodal processing of text, images, video, audio, and code repositories, Gemini 3.1 Pro delivers state-of-the-art agentic and coding capabilities.
Key Strengths
State-of-the-Art Reasoning
Google's most advanced reasoning model with unprecedented depth and nuance. Scored 77.1% on ARC-AGI-2, significantly outperforming Gemini 3 Pro across all benchmarks.
Deep Think Mode
Specialised deep reasoning mode achieving gold-medal standards at math and programming world championships, plus advanced scientific problem solving in chemistry and physics.
True Multimodal
Natively processes text, images, video, high-fidelity audio, PDFs, and entire code repositories in a single model. No separate vision or audio pipelines required.
1M Token Context Window
Million-token context windows enabling full-codebase analysis, hour-long video processing, and complex long-horizon enterprise tasks with 64K token output.
Configurable Thinking Levels
Control reasoning depth with minimal, low, medium, or high thinking levels to optimise trade-offs between cost, performance, and speed for each use case.
Google Cloud Integration
Native integration with Vertex AI, BigQuery, Cloud Run, Google Workspace, and the entire GCP ecosystem. Available via Google AI Studio, Gemini CLI, and Android Studio.
Best Use Cases
Autonomous Agentic Workflows
Deploy self-correcting agents with improved tool use and agentic coding capabilities across enterprise systems.
Full-Repository Code Intelligence
Ingest and reason over entire codebases for review, refactoring, documentation, and migration with improved software engineering behaviour.
Multimodal Content Generation
Generate and analyse text, image, video, and audio assets from unified prompts. Gemini 3.1 Flash Image enables high-quality image generation.
Complex Reasoning and Research
Tackle advanced mathematical, scientific, and logical reasoning tasks with Deep Think mode for the most demanding problems.
Top Industries
Pricing
| Model | Input | Output |
|---|---|---|
| Gemini 3.1 ProPrompts up to 200K | $2.00/1M | $12.00/1M |
| Gemini 3.1 Pro (>200K)Extended context | $4.00/1M | $18.00/1M |
| Gemini 3 FlashFast & capable | $0.50/1M | $3.00/1M |
| Gemini 3.1 Flash-LiteMost cost-efficient | $0.25/1M | $1.50/1M |
Context caching drops input to $0.50/1M. Batch API offers 50% reduction. Thinking tokens billed at standard output rates. Enterprise discounts through Vertex AI.
Integration
Google AI Studio, Vertex AI API, Gemini CLI, Python SDK (google-genai v1.51.0+), Node.js SDK, REST API. Supports batch, context caching, function calling, structured outputs, search grounding, and URL contexts. Native connectors for Google Workspace, BigQuery, and Looker.
Why Implement Google Gemini with BroadComms?
Certified Expertise
Deep expertise with Google Gemini combined with multi-provider knowledge
Cost Optimization
We ensure you use Google Gemini where it excels and route other tasks to cheaper alternatives
No Lock-in
Our architecture ensures you can add or switch providers at any time