Google Gemini 3.1 Pro Benchmarks 2026: A New Era of Agentic Reasoning
Google has officially raised the stakes in the AI race with the release of Gemini 3.1 Pro on February 19, 2026. This isn’t just a minor update; it’s a massive leap in core intelligence that brings “Deep Think” reasoning to everyday applications.
Whether you are a developer using Google Antigravity or a student in NotebookLM, the new Gemini 3.1 Pro benchmarks 2026 prove that Google is currently leading the industry in logical problem-solving.
1. Breakthrough Reasoning: The ARC-AGI-2 Score
The most critical highlight of the Gemini 3.1 Pro benchmarks 2026 is the ARC-AGI-2 score. This benchmark measures “fluid intelligence”—the ability to solve entirely new logic puzzles the model hasn’t seen before.
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Gemini 3.1 Pro Score: 77.1%
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The Comparison: This is a 2.5x improvement over Gemini 3 Pro (31.1%) and significantly outperforms Claude Opus 4.6 (68.8%) and GPT-5.2 (52.9%).
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Significance: It proves that Gemini 3.1 Pro can “think” rather than just predict the next word.
2. Performance Comparison Table (2026 Edition)
To see how Gemini 3.1 Pro stacks up against its rivals, look at these verified benchmark scores:
| Benchmark | Gemini 3.1 Pro | Claude Opus 4.6 | OpenAI GPT-5.2 |
| ARC-AGI-2 (Reasoning) | 77.1% | 68.8% | 52.9% |
| GPQA Diamond (Science) | 94.3% | 91.3% | 92.4% |
| LiveCodeBench (Elo) | 2887 | N/A | 2393 |
| SWE-Bench (Coding) | 80.6% | 80.8% | 80.0% |
3. New Features: Animated SVGs and Agentic Coding
The Gemini 3.1 Pro benchmarks 2026 success is supported by new practical tools that developers and creators can use immediately:
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Native Animated SVGs: Generate crisp, website-ready animations directly from a text prompt. Since they are code-based, they have near-zero file sizes compared to video.
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Google Antigravity Integration: 3.1 Pro is the preferred model for Antigravity, Google’s agentic IDE, where it can autonomously perform database migrations and refactor entire codebases.
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Massive 1M Context Window: Perfect for legal teams and researchers, it can synthesize dozens of research papers into a single actionable view without losing context.
4. Pricing and Availability
Despite the intelligence upgrade, Google has kept the pricing flat, offering the best performance-to-cost ratio in the market.
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Pricing: $2.00 per 1M input tokens (for prompts under 200k).
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Availability: Rolling out now to Gemini Pro/Ultra users, Vertex AI, and the Gemini API.
Conclusion: The New Industry Standard
The Gemini 3.1 Pro benchmarks 2026 confirm that the 0.1 update notation hides a 1.0-level intelligence jump. By doubling its reasoning performance, Google has created a model that is not just a chatbot, but a true autonomous partner for complex work.