Unlocking Gemini 3.1 Pro: Transforming Business and Developer Capabilities

Unlocking Gemini 3.1 Pro: Transforming Business and Developer Capabilities In the fast-paced world of AI and automation, Gemini 3.1 Pro emerges as a significant breakthrough for businesses and developers alike. Offering enhanced reasoning and agentic coding capabilities, Gemini 3.1 Pro is designed to elevate the expectations of what artificial intelligence can achieve in practical, real-world applications. Comprehensive Understanding Across Modalities Gemini 3.1 Pro excels in understanding complex topics through a multimodal approach, effectively integrating text, images, video, audio, and even code. This breadth of comprehension allows for a higher level of interaction with data, making it indispensable for businesses aiming to leverage AI for deeper analytical insights and streamlined operations. The Developer's Ally: Building and Innovating For developers, Gemini 3.1 Pro serves as an invaluable ally in bringing ideas to life. From initial sketches and prompts to developing interactive tools and experiences, the model assists in transforming abstract concepts into market-ready solutions. Its advanced reasoning capabilities ensure enhanced tool use, allowing developers to focus on creative solutions rather than repetitive coding tasks. Build Interactive Applications: Gemini 3.1 Pro transforms real-time data into dynamic applications and stunning visualizations directly in code. Create Complex Simulations: Developers can prototype sensory-rich interfaces with complex, interactive 3D simulations, such as immersive starling murmurations. Generate Realistic Environments: Whether it’s terrain generation or modeling traffic flow, Gemini 3.1 Pro maps intricately layered simulated cities with precision. Enhance User Experience: Light-weight, scalable animations can be integrated effortlessly, optimizing web development processes. Agentic Coding: A Leap Forward One of the most significant features of Gemini 3.1 Pro is its agentic coding capabilities. The ability to handle simultaneous, multi-step tasks means that complex projects can be broken down into manageable parts, allowing for superior project management and execution efficiency. Businesses aiming to deploy personalized AI solutions can significantly benefit from these advanced capabilities. Benchmark Notes Gemini 3.1 Pro Thinking (High) Gemini 3 Pro Thinking (High) Sonnet 4.6 Thinking (Max) Opus 4.6 Thinking (Max) GPT-5.2 Thinking (xhigh) GPT-5.3-Codex Thinking (xhigh) Humanity's Last Exam Academic reasoning (full set, text + MM) No tools 44.4% 37.5% 33.2% 40.0% 34.5% — Search (blocklist) + Code 51.4% 45.8% 49.0% 53.1% 45.5% — ARC-AGI-2 Abstract reasoning puzzles ARC Prize Verified 77.1% 31.1% 58.3% 68.8% 52.9% — GPQA Diamond Scientific knowledge No tools 94.3% 91.9% 89.9% 91.3% 92.4% — Terminal-Bench 2.0 Agentic terminal coding Terminus-2 harness 68.5% 56.9% 59.1% 65.4% 54.0% 64.7% Other best self-reported harness — — — — 62.2% (Codex) 77.3% (Codex) SWE-Bench Verified Agentic coding Single attempt 80.6% 76.2% 79.6% 80.8% 80.0% — SWE-Bench Pro (Public) Diverse agentic coding tasks Single attempt 54.2% 43.3% — — 55.6% 56.8% LiveCodeBench Pro Competitive coding problems from Codeforces, ICPC, and IOI Elo 2887 2439 — — 2393 — SciCode Scientific research coding 59% 56% 47% 52% 52% — APEX-Agents Long horizon professional tasks 33.5% 18.4% — 29.8% 23.0% — GDPval-AA Elo Expert tasks 1317 1195 1633 1606 1462 — τ2-bench Agentic and tool use Retail 90.8% 85.3% 91.7% 91.9% 82.0% — Telecom 99.3% 98.0% 97.9% 99.3% 98.7% — MCP Atlas Multi-step workflows using MCP 69.2% 54.1% 61.3% 59.5% 60.6% — BrowseComp Agentic search Search + Python + Browse 85.9% 59.2% 74.7% 84.0% 65.8% — MMMU-Pro Multimodal understanding and reasoning No tools 80.5% 81.0% 74.5% 73.9% 79.5% — MMMLU Multilingual Q&A 92.6% 91.8% 89.3% 91.1% 89.6% — MRCR v2 (8-needle) Long context performance 128k (average) 84.9% 77.0% 84.9% 84.0% 83.8% — 1M (pointwise) 26.3% 26.3% Not supported Not supported Not supported — In summary, Gemini 3.1 Pro is not just an AI model, it is a catalyst for innovation and efficiency. It empowers businesses to execute complex, multi-layered AI tasks with unprecedented depth and accuracy, while also streamlining the development process for coding professionals. The result is a versatile tool that transforms how businesses and developers approach challenges in the digital landscape. Model information Name 3.1 Pro Preview Input Text/Pictures/Video/Audio/PDF Output Text Input tokens 1M Output tokens 64k Knowledge cutoff January 2025 Tool use Function calling Structured output Search as a tool Code execution Best for Agentic Advanced coding Long context understanding Multimodal understanding Algorithmic development Availability Gemini App Google Cloud / Vertex AI Google AI Studio Gemini API Google AI Mode Google Antigravity Documentation View developer docs Model card View model card