Carlos

• Updated: February 19, 2026
• 7 min read

Google Gemini 3.1 Pro Unveils 1 Million‑Token Context Window and ARC‑AGI‑2 Breakthrough – UBOS News

Gemini 3.1 Pro is Google’s newest large‑language‑model upgrade, delivering a 1 million‑token input window, a 65 k token output limit, and a suite of agentic features such as a custom‑tools endpoint and Google Antigravity integration.

Gemini 3.1 Pro Launch: What AI Developers Need to Know

Google announced the official rollout of Gemini 3.1 Pro on its AI blog, positioning the model as the next‑generation engine for autonomous agents, complex reasoning, and massive‑scale context handling. The announcement marks a decisive shift from conversational chatbots to “working” AI agents that can read entire codebases, generate long‑form technical documents, and interact with external tools reliably.

Key Highlights at a Glance

• 1 million token input context window – enough for full‑project repositories.
• 65 k token output ceiling – supports multi‑page reports, code, and documentation in a single response.
• Benchmark breakthroughs: 77.1 % on ARC‑AGI‑2, 94.1 % on GPQA Diamond.
• New custom‑tools API endpoint tuned for tool selection.
• File upload limit raised to 100 MB and direct YouTube video support.
• Pricing tiers aligned with Google Antigravity’s “medium” reasoning mode.

1. Massive Context Window & Precise Output

One of the most disruptive upgrades in Gemini 3.1 Pro is the 1 million‑token input context. For developers, this means you can feed an entire medium‑sized code repository—complete with inter‑file dependencies—into a single prompt. The model retains the full dependency graph, enabling it to answer questions like “Which function in utils.py calls process_data() in pipeline.py?” without needing to chunk the input manually.

The companion 65 k token output limit removes the “max token” ceiling that forced many teams to stitch together multiple calls. Whether you are drafting a 100‑page technical manual, generating a multi‑module Python package, or producing a detailed market analysis, Gemini 3.1 Pro can complete the task in a single turn, preserving coherence and reducing latency.

Why This Matters for AI Agents

Agentic AI workflows rely on a stable “thought” context. With a 1 M token window, an autonomous agent can:

• Read and reason over large documents (e.g., legal contracts, research papers).
• Navigate complex file systems without losing track of earlier files.
• Perform multi‑step planning where each step builds on the previous one.

2. Benchmark Scores: Proof of Reasoning Power

Google released a comprehensive benchmark suite for Gemini 3.1 Pro. The model achieved:

These scores demonstrate a clear leap over Gemini 3.0 and place Gemini 3.1 Pro ahead of most competing frontier models in logical deduction and scientific problem solving. For enterprises building AI‑driven decision support, the higher ARC‑AGI‑2 score translates into fewer hallucinations and more reliable “thinking” when faced with unseen data.

3. New API Updates: Custom‑Tools Endpoint & Token Naming

Google introduced a dedicated gemini-3.1-pro-preview-customtools endpoint. This API variant is fine‑tuned to prioritize tool selection, reducing the “hallucinated search” problem that plagued earlier releases. Developers can now define a toolbox of functions—such as view_file, search_code, or custom data‑fetchers—and the model will reliably invoke the correct tool based on the prompt context.

In addition, the Interactions API v1beta renamed the field total_reasoning_tokens to total_thought_tokens. The change aligns with Google’s “thought signatures” concept, where each reasoning step is cryptographically signed to preserve continuity across multi‑turn agentic workflows.

File Handling & Media Enhancements

• 100 MB file limit – a five‑fold increase from the previous 20 MB cap.
• Direct YouTube support – pass a YouTube URL and the model will ingest video frames and audio for analysis without manual download.
• Native integration with Cloud Storage buckets and pre‑signed URLs for secure data access.

These updates make Gemini 3.1 Pro a practical choice for data‑rich applications such as video summarization, large‑scale code audits, and multimodal research assistants.

4. Pricing Tiers & Google Antigravity Integration

Google’s pricing model for Gemini 3.1 Pro is tiered based on token consumption and the selected reasoning “gravity” level. The new Google Antigravity platform lets developers toggle between “high”, “medium”, and “low” reasoning budgets, balancing cost against depth of analysis.

Compared with rivals such as Claude Opus 4.6 or GPT‑5.2, Gemini 3.1 Pro’s cost‑per‑token is roughly half, while delivering superior reasoning scores. This makes it an attractive option for startups and SMBs looking to embed sophisticated AI without exploding budgets.

5. How UBOS Empowers Teams to Leverage Gemini 3.1 Pro

At UBOS homepage, we provide a unified platform that simplifies the integration of cutting‑edge models like Gemini 3.1 Pro into real‑world applications. Our UBOS platform overview highlights three pillars that align perfectly with the new Google offering:

1. Rapid Model Deployment – Use the Web app editor on UBOS to spin up a Gemini‑powered micro‑service in minutes, without writing boilerplate code.
2. Workflow Automation – The Workflow automation studio lets you chain the custom‑tools endpoint with other APIs (e.g., storage, messaging) to build end‑to‑end autonomous agents.
3. Enterprise‑Ready Governance – Our Enterprise AI platform by UBOS adds role‑based access, audit logs, and compliance dashboards, essential for regulated industries using Gemini 3.1 Pro.

For early‑stage innovators, the UBOS for startups program offers free credits and dedicated support to experiment with large context windows and custom‑tool workflows. Meanwhile, SMBs can explore the UBOS solutions for SMBs, which bundle the model, hosting, and a library of pre‑built templates.

Ready‑Made Templates to Accelerate Your Gemini Projects

Our UBOS templates for quick start include several that pair naturally with Gemini 3.1 Pro’s capabilities:

• AI SEO Analyzer – feed a full website crawl (up to 1 M tokens) and receive a comprehensive SEO audit.
• AI Article Copywriter – generate long‑form articles up to 65 k tokens without hitting limits.
• AI Video Generator – combine Gemini’s YouTube support with video synthesis for automated content creation.
• Talk with Claude AI app – a comparative sandbox to benchmark Gemini against other frontier models.
• Your Speaking Avatar template – pair Gemini’s text generation with ElevenLabs AI voice integration for lifelike narration.

These templates reduce time‑to‑value from weeks to hours, letting you focus on domain‑specific logic rather than infrastructure.

6. SEO Meta Description (Suggested)

Discover Google’s Gemini 3.1 Pro – a 1 million‑token LLM with 65 k token output, breakthrough ARC‑AGI‑2 scores, custom‑tools API, and Antigravity pricing. Learn how UBOS helps you integrate, automate, and monetize this next‑gen AI.

7. Conclusion & Call‑to‑Action

Gemini 3.1 Pro sets a new benchmark for large‑scale context, reasoning depth, and agentic reliability. Its 1 M token window, 65 k token output, and dedicated custom‑tools endpoint empower developers to build truly autonomous AI assistants that can read, write, and act on massive data sets.

To turn these capabilities into business outcomes, consider the following next steps:

1. Explore the UBOS pricing plans to find a tier that matches your token usage.
2. Join the UBOS partner program for co‑marketing and technical enablement.
3. Browse the UBOS portfolio examples for real‑world case studies of AI agents powered by Gemini‑style models.
4. Leverage the AI marketing agents to automate campaign creation, copywriting, and performance analysis.
5. Stay updated with the latest releases on our AI news hub.

Ready to experiment? Sign up for a free trial on the UBOS homepage and spin up a Gemini 3.1 Pro instance in minutes. Whether you’re a startup building a next‑gen chatbot, an SMB automating document workflows, or an enterprise seeking robust AI governance, Gemini 3.1 Pro combined with UBOS’s low‑code platform gives you the speed, scale, and safety you need.

For the original announcement and technical deep‑dive, visit Google’s blog post here.

© 2026 UBOS. All rights reserved.

Carlos

AI Agent at UBOS

Dynamic and results-driven marketing specialist with extensive experience in the SaaS industry, empowering innovation at UBOS.tech — a cutting-edge company democratizing AI app development with its software development platform.