Released February 19, 2026, Gemini 3.1 Pro is Google's most capable general-purpose AI model to date — built on an upgraded reasoning core that more than doubles the intelligence of its predecessor. This article covers everything you need to know: what Gemini 3.1 Pro can do, how it performs on independent benchmarks, how much it costs, and how it stacks up against competing models.
What Is Gemini 3.1 Pro?
Gemini 3.1 Pro is a proprietary large language model developed by Google DeepMind, released on February 19, 2026. It is currently available in preview and represents a major step forward in the Gemini 3 model series. Unlike Gemini 3 Deep Think — which targets scientific and engineering research — Gemini 3.1 Pro is designed for everyday complex reasoning tasks across consumer, developer, and enterprise use cases.
In short: Gemini 3.1 Pro is the upgraded “core intelligence” that powers Google's entire AI product ecosystem in 2026, from the Gemini app to Vertex AI.
Key Features of Gemini 3.1 Pro
- Advanced reasoning engine: Scores 77.1% on ARC-AGI-2, a benchmark measuring the ability to solve entirely new logic patterns — more than double the score of Gemini 3 Pro.
- Multimodal input: Accepts both text and image inputs; outputs text.
- 1 million token context window: Equivalent to approximately 1,500 A4 pages, making it suitable for large document analysis and long-context RAG workflows.
- Reasoning model: Uses extended thinking / chain-of-thought reasoning before generating answers, improving accuracy on complex tasks.
- High output speed: Generates 105.8 tokens per second (well above the peer median of 72.2 t/s).
- Creative and agentic coding: Capable of generating animated SVGs, 3D visualizations, live aerospace dashboards, and interactive design prototypes from text prompts alone.
- Broad platform availability: Available across Google AI Studio, Gemini CLI, Google Antigravity, Android Studio, Vertex AI, Gemini Enterprise, the Gemini app, and NotebookLM.
Gemini 3.1 Pro Performance: Benchmark Results
According to independent evaluations by Artificial Analysis (Intelligence Index v4.0, which spans reasoning, knowledge, mathematics, and coding):
| Metric | Gemini 3.1 Pro Preview | Peer Median |
|---|---|---|
| Intelligence Index Score | 57 (Rank #1 / 115 models) | 26 |
| Output Speed | 105.8 tokens/sec (Rank #24) | 72.2 t/s |
| Time to First Token (TTFT) | 29.16 seconds | 1.20 seconds |
| Context Window | 1,000,000 tokens | — |
| Input Price | $2.00 / 1M tokens | $1.60 / 1M tokens |
| Output Price | $12.00 / 1M tokens | $10.00 / 1M tokens |
Key takeaway: Gemini 3.1 Pro leads all 115 models in the Intelligence Index by a wide margin. However, its latency to first token is notably high (29.16 seconds versus the peer median of 1.20 seconds), which is a practical trade-off of its deep reasoning process. It is also somewhat more expensive than competing models in the same price tier.
Gemini 3.1 Pro vs. Competing Models
To help you make an informed decision, here is a high-level comparison across the major frontier models currently available:
| Model | Intelligence Index | Speed (t/s) | Input Price ($/1M) | Output Price ($/1M) | Context Window | Reasoning |
|---|---|---|---|---|---|---|
| Gemini 3.1 Pro Preview | 57 (#1) | 105.8 | $2.00 | $12.00 | 1M tokens | ✅ Yes |
| Claude Opus 4.6 | — | — | — | — | — | ✅ Yes |
| Claude Sonnet 4.6 | — | — | — | — | — | ✅ Yes |
| GPT-5.2 (xhigh) | — | — | — | — | — | ✅ Yes |
| Grok 4 | — | — | — | — | — | ✅ Yes |
| DeepSeek V3.2 | — | — | — | — | — | ✅ Yes |
| Gemini 3 Pro (prev.) | ~35 (est.) | — | — | — | — | Limited |
Note: Scores for competing models are from Artificial Analysis' live leaderboard and may change. Gemini 3.1 Pro Preview holds the #1 Intelligence Index ranking as of its February 2026 release.
Who should choose Gemini 3.1 Pro?
- Enterprise teams needing top-ranked reasoning with Google Cloud (Vertex AI) integration.
- Developers building agentic workflows who require superior multi-step reasoning over raw throughput.
- Researchers and analysts working with large documents (up to 1M tokens) who need high accuracy.
- Consumers on Google AI Pro or Ultra plans who want Google's most intelligent model in the Gemini app and NotebookLM.
Who might prefer alternatives?
- Users with latency-sensitive applications should note the 29-second time-to-first-token and consider faster models.
- Cost-sensitive developers may find Gemini 3 Flash or DeepSeek V3.2 more economical for high-volume use.
How to Access Gemini 3.1 Pro
Gemini 3.1 Pro is currently in preview. Here is where you can access it today:
- Gemini API via Google AI Studio — Developers can test and build with the model at
aistudio.google.com. Model string:gemini-3.1-pro-preview. - Vertex AI — Enterprise access for teams already on Google Cloud infrastructure.
- Gemini Enterprise — For businesses using Google Workspace with advanced AI plans.
- Gemini CLI — Command-line access for developers at
geminicli.com. - Google Antigravity — Google's agentic development platform.
- Android Studio — Native integration for Android developers.
- Gemini App (Consumer) — Available with higher usage limits for Google AI Pro and Ultra plan subscribers.
- NotebookLM — Exclusively for Pro and Ultra users.
Real-World Use Cases: What Gemini 3.1 Pro Can Do
Gemini 3.1 Pro is positioned for tasks where a simple answer is not sufficient. Documented capabilities from Google's official release include:
- Code-based animation: Generating website-ready, animated SVGs from a text prompt — crisp at any scale, with smaller file sizes than traditional video formats.
- Complex system synthesis: Building a live aerospace dashboard that configures a public telemetry stream to visualize the International Space Station's orbit.
- Interactive design: Coding a 3D starling murmuration simulation with hand-tracking and a generative audio score that responds to flock movement.
- Creative coding: Translating literary themes (such as Emily Brontë's Wuthering Heights) into a functional, stylistically appropriate personal portfolio website.
- Data synthesis: Combining information from multiple complex sources into unified, user-friendly views.
These examples highlight why Gemini 3.1 Pro is considered a reasoning-first model: it is not just generating content, but reasoning through design intent, technical constraints, and user experience before producing output.
Pricing Summary
| Plan | سعر |
|---|---|
| Input tokens | $2.00 per 1M tokens |
| Output tokens | $12.00 per 1M tokens |
| Blended rate (3:1 input/output ratio) | $4.50 per 1M tokens |
Pricing is available through Google's API. The model is currently in preview, and pricing or availability may change before general availability.
What's Next for Gemini 3.1 Pro
Google has confirmed that Gemini 3.1 Pro is in preview specifically to validate updates and gather developer feedback before general availability. The stated next focus areas include:
- Further advancements in agentic workflows — autonomous multi-step task completion.
- Continued improvements to reasoning and intelligence benchmarks.
- Broader rollout to all users beyond Pro and Ultra plan subscribers.
Google has been iterating rapidly: Gemini 3 Pro launched in November 2025, and Gemini 3.1 Pro arrived just three months later with more than double the ARC-AGI-2 reasoning score.
FAQ: Gemini 3.1 Pro Common Questions
Q: When was Gemini 3.1 Pro released? Gemini 3.1 Pro Preview was released on February 19, 2026.
Q: Is Gemini 3.1 Pro the most intelligent AI model available? Based on independent testing by Artificial Analysis, Gemini 3.1 Pro Preview ranks #1 out of 115 models on the Artificial Analysis Intelligence Index as of February 2026, with a score of 57 compared to a peer median of 26.
Q: Is Gemini 3.1 Pro a reasoning model? Yes. Gemini 3.1 Pro uses extended chain-of-thought reasoning, meaning it works through complex problems before delivering a final answer. This improves accuracy but contributes to a higher time-to-first-token (approximately 29 seconds).
Q: How much does Gemini 3.1 Pro cost? The API is priced at $2.00 per 1M input tokens and $12.00 per 1M output tokens via Google's API — slightly above the average for models in its peer group.
Q: What is the context window of Gemini 3.1 Pro? Gemini 3.1 Pro supports a 1 million token context window, equivalent to approximately 1,500 A4 pages.
Q: Does Gemini 3.1 Pro support images? Yes. The model is multimodal and supports both text and image inputs, outputting text.
Q: Is Gemini 3.1 Pro open source? No. Gemini 3.1 Pro is a proprietary model. Google has not disclosed the parameter count or released the model weights.
Q: Is Gemini 3.1 Pro available for free? Consumer access is available through the Gemini app, but higher usage limits require a Google AI Pro or Ultra subscription. Developer and enterprise access requires paid API usage.
Q: How does Gemini 3.1 Pro compare to Gemini 3 Pro? Gemini 3.1 Pro achieves a verified ARC-AGI-2 score of 77.1% — more than double the reasoning performance of Gemini 3 Pro, released in November 2025.
Q: Where can I try Gemini 3.1 Pro? You can access Gemini 3.1 Pro today via Google AI Studio (for developers), the Gemini app (for consumers with Pro/Ultra plans), Vertex AI (for enterprises), and NotebookLM (for Pro/Ultra subscribers).
