Gemini 3.1 Pro
by Google / DeepMind
Google’s latest frontier model with native multimodal reasoning, agentic vision, and dynamic thinking. Doubles previous agentic performance and leads on most agentic benchmarks.
Overview
Gemini 3.1 Pro is Google’s most advanced model as of February 2026, designed for complex reasoning across science, research, and engineering. It represents a substantial upgrade featuring enhanced abstract reasoning, near-doubling of agentic capabilities, and native multimodal input handling.
Core Capabilities
Advanced Reasoning
- ARC-AGI-2 Benchmark: 77.1% verified score (more than 2x improvement over Gemini 3 Pro)
- Dynamic Thinking: Automatically applies chain-of-thought reasoning based on task complexity
- Thinking Levels: low, medium, high, max — optimize between speed and depth
- GPQA Diamond: Highest score ever recorded on graduate-level science benchmark
Agentic Performance
- Roughly doubled agentic performance vs. Gemini 3 Pro in most categories
- Leads over GPT-5.2 and Claude on most agentic benchmarks
- Autonomous web research capability
- Long-horizon multi-step task execution
- Terminal coding and debugging
Native Multimodal Processing
- Text, Images, Audio, Video: All processed natively as first-class inputs
- 1M Token Context Window: With 64K max output tokens
- Video as Genuine Input: Not just frame extraction—understands both spoken content and visual information
- Audio Processing: Direct audio analysis without preprocessing
Agentic Vision (Enabled by Default)
- Combines visual reasoning with code execution
- Think-Act-Observe Loop: Plans inspection → executes Python code → observes results → responds
- Image Manipulation: Crops, zooms, annotates, analyzes step-by-step
- Multi-step Visual Analysis: Can iterate on image understanding rather than single-pass evaluation
Code-Based Interactive Output
Animated SVG Generation
- Generates website-ready animated SVGs directly from text
- Built in pure code (mathematical definitions) not pixels
- Crisp scaling at any resolution
- Dramatically smaller file sizes than video
- Fully editable and embeddable
Complex System Synthesis
- Live Aerospace Dashboard: Visualizes ISS orbit by configuring public telemetry
- 3D Interactive Experiences: Starling murmuration with hand-tracking and generative audio
- Design Prototyping: Interactive dashboards and sensory-rich interfaces
- Portfolio Generation: From thematic prompts (e.g., Wuthering Heights)
Technical Improvements
Output Truncation Fixed
- Gemini 3 Pro suffered from cutting off long responses mid-generation
- Gemini 3.1 Pro: Generates massive responses in single run without truncation
- Dramatically improves usability for long-form content
Efficiency Gains
- JetBrains verified “more reliable results” with “fewer output tokens” needed
- More efficient token usage for long-form generation
- Better reasoning with reduced computational overhead
Performance Benchmarks
- ARC-AGI-2: 77.1% (2x improvement)
- GPQA Diamond: Highest-ever recorded score on graduate-level science
- Humanities Exams: 44% (vs. 37% for predecessor)
- Agentic Benchmarks: Leads Claude and GPT-5.2 across most evaluations
- Terminal-Bench 2.0: Strong systems-level coding performance
Context and Capabilities by Tier
Free Tier
- 32,000 token context window
- Daily limits
- 5 Deep Research reports/month
- 100 images/day via Nano Banana
Google AI Plus
- 128,000 token context window
- 30 daily prompts for 3.1 Pro
- 12 Deep Research reports/day
- 1,000 Nano Banana images/day
- 2 video generations/day
Google AI Ultra
- 1 Million token context window (equivalent to 1,500 pages of text or 30,000 lines of code)
- 100 daily prompts for 3.1 Pro
- 20 Deep Research reports/day
- Unlimited slide generation
- 3 video generations/day
Platform Availability
For Developers
- Gemini API (preview)
- Google AI Studio
- Gemini CLI
- Google Antigravity
- Android Studio
For Enterprises
- Vertex AI
- Gemini Enterprise
For Consumers
- Gemini app
- NotebookLM (Pro and Ultra users only)
Integration with Google Services
- Gmail: Proofreading and writing assistance
- NotebookLM: Enhanced capabilities for research and document analysis
- Google Suite: Advanced agentic capabilities for task automation
Best Use Cases
Scientific Research & Analysis
- Literature review and synthesis across papers
- Hypothesis generation
- Analyzing recorded meetings and lecture videos
- Processing podcasts and multimedia research materials
Autonomous Research Agents
- Multi-step information gathering
- Fact verification
- Structured report generation with minimal supervision
- Web research automation
Codebase Analysis
- Architectural inconsistency identification
- Bug tracing across multiple files
- Large-scale refactoring
- Multi-file navigation and manipulation
Multimodal Content Analysis
- Meeting recording insights
- Lecture video extraction
- Podcast transcription and analysis
- Video-based data extraction
Cost-Sensitive Production Deployments
- Approximately half the cost of Claude Opus 4.6
- High-volume inference where reasoning quality matters
- Budget-constrained scenarios requiring frontier capabilities
Competitive Position
vs. Claude Opus 4.6
- Gemini 3.1: Stronger agentic performance, lower cost (~50%), native multimodal
- Opus 4.6: Maximum reasoning depth, adaptive effort levels, stronger on legal/finance tasks
vs. GPT-5.3 Codex
- Gemini 3.1: Broader capabilities (not code-specific), better agentic performance, more affordable
- GPT-5.3-Codex: Specialized coding optimization, stronger on SWE-Bench
vs. GPT-5.3 Codex-Spark
- Gemini 3.1: Full-featured multimodal reasoning
- Codex-Spark: Ultra-fast code generation (15x speedup)
Key Innovations
- Dynamic Thinking: Task-adaptive reasoning without manual configuration
- Agentic Vision: Default capability for sophisticated visual analysis
- Code-Based Output: Animated, interactive, scalable content generation
- True Multimodal: Native handling of all modalities, not frame-based video
- Truncation Resolution: Reliable long-form generation
- Agentic Leadership: Leads most agentic benchmarks vs. competitors
Cost Efficiency
At approximately half the cost of Claude Opus 4.6 while matching or exceeding on many benchmarks, Gemini 3.1 Pro represents strong value for:
- High-volume production inference
- Research-grade reasoning at scale
- Cost-constrained teams requiring frontier capabilities