What is Gemini 3.1 Pro?
Google released Gemini 3.1 Pro on February 19, 2026, marking a significant mid-cycle upgrade to its flagship Gemini 3 series. This isn't just an incremental update — Google has more than doubled the reasoning performance of its predecessor, making Gemini 3.1 Pro one of the most capable AI models available today.
🎯 Key Highlights
- 77.1% on ARC-AGI-2 — More than 2x improvement over Gemini 3 Pro (31.1%)
- 44.4% on Humanity's Last Exam — New record, beating GPT-5.2 and previous Gemini
- 1 million token context window — Same as Gemini 3 Pro
- $2/M input tokens — Competitive pricing maintained
- Preview availability — Rolling out now, GA coming soon
The "3.1" designation reflects this is the same generation as Gemini 3 but with the "upgraded core intelligence" that Google previously deployed in Gemini 3 Deep Think. Essentially, the reasoning improvements that made Deep Think special are now available in the standard Pro tier.
Benchmark Performance
Google's benchmark claims for Gemini 3.1 Pro are impressive, particularly in reasoning-heavy evaluations that can't be easily gamed through training data exposure.
Reasoning Benchmarks
| Benchmark | Gemini 3.1 Pro | Gemini 3 Pro | GPT-5.2 | Claude Opus 4.6 |
|---|---|---|---|---|
| ARC-AGI-2 Novel logic patterns |
77.1% | 31.1% | 52.9% | 68.8% |
| Humanity's Last Exam Academic reasoning |
44.4% | 37.5% | 34.5% | — |
| Arena (Text) Human preference voting |
~1500 | ~1480 | ~1495 | 1504 |
| Arena (Code) Human preference voting |
— | — | Higher | Highest |
What ARC-AGI-2 Means
The ARC-AGI-2 benchmark is particularly significant because it tests a model's ability to solve entirely novel logic patterns — problems that can't be directly trained into an AI. Gemini 3 Pro struggled here at 31.1%, falling behind competitors. Gemini 3.1 Pro's 77.1% score represents a genuine breakthrough in generalized reasoning.
The Arena Caveat
It's worth noting that on the Arena leaderboard (formerly LM Arena), Claude Opus 4.6 still edges out Gemini 3.1 Pro for both text and code generation. Arena uses human preference voting, which can reward outputs that look correct regardless of whether they are. But for tasks requiring genuine reasoning and problem-solving, Gemini 3.1 Pro appears to have the edge.
API Pricing
Gemini 3.1 Pro maintains the same pricing as Gemini 3 Pro, making it an excellent value proposition given the performance improvements.
Input Tokens
Output Tokens
Context Window
Extended Context Pricing
| Context Size | Input Cost | Output Cost |
|---|---|---|
| ≤200K tokens | $2 / 1M tokens | $12 / 1M tokens |
| 200K - 1M tokens | $4 / 1M tokens | $18 / 1M tokens |
Additional Features
- Context Caching: $0.20-$0.40 / 1M tokens + $4.50 / 1M tokens / hour storage
- Search Grounding: 5,000 queries/month free, then $14 / 1,000 queries
💡 Calculate Your Costs
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LLM Cost Calculator →How to Access Gemini 3.1 Pro
Gemini 3.1 Pro is rolling out across Google's AI ecosystem. Currently in preview, general availability is expected soon.
For Developers
For Enterprises
For Consumers
Quick Start: API Access
# Install the Gemini CLI
npm install -g @google/gemini-cli
# Or use directly in AI Studio
# https://aistudio.google.com/prompts/new_chat?model=gemini-3.1-pro-preview
# Python SDK
pip install google-generativeai
# Use model: gemini-3.1-pro-previewNew Capabilities
Google highlighted several practical applications where Gemini 3.1 Pro's improved reasoning shines:
🎨 SVG Animation
Generate website-ready animated SVGs directly from text prompts. Code-based animations remain crisp at any scale with tiny file sizes compared to video.
📊 Complex System Synthesis
Bridge complex APIs and user-friendly design. Example: Building live aerospace dashboards by configuring public telemetry streams (ISS orbit visualization).
🖐️ Interactive 3D Design
Code complex 3D experiences with hand-tracking and generative audio. Built a starling murmuration where users manipulate flocks with hand movements.
📝 Creative Coding
Translate literary themes into functional code. Given "Wuthering Heights," it reasoned through atmospheric tone to design a contemporary portfolio website.
Agentic Workflows
Google specifically mentioned that general availability is pending additional testing for "ambitious agentic workflows" — AI systems capable of autonomously carrying out multi-step tasks. This suggests Gemini 3.1 Pro is being positioned as a foundation for more autonomous AI applications.
Gemini 3.1 Pro vs GPT-5.2 vs Claude Opus 4.6
Here's how the three leading models stack up in February 2026:
| Feature | Gemini 3.1 Pro | GPT-5.2 | Claude Opus 4.6 |
|---|---|---|---|
| Reasoning (ARC-AGI-2) | 77.1% ✓ | 52.9% | 68.8% |
| Academic (HLE) | 44.4% ✓ | 34.5% | — |
| Arena (Text) | ~1500 | ~1495 | 1504 ✓ |
| Context Window | 1M tokens ✓ | 128K tokens | 200K tokens |
| Input Price | $2/1M ✓ | $5/1M | $15/1M |
| Output Price | $12/1M ✓ | $15/1M | $75/1M |
When to Use Each Model
- Gemini 3.1 Pro: Best for complex reasoning tasks, long-context applications, and cost-sensitive production workloads
- GPT-5.2: Strong all-around performance, largest ecosystem of tools and integrations
- Claude Opus 4.6: Best for nuanced writing, code generation, and tasks requiring careful reasoning through ambiguity
Final Verdict
✅ Strengths
- 77.1% ARC-AGI-2 — best-in-class reasoning
- 1M token context window
- Competitive pricing ($2/M input)
- Wide availability across Google ecosystem
- Strong SVG and code generation
- Search grounding included
⚠️ Considerations
- Still in preview (GA soon)
- Trails Claude Opus 4.6 on Arena
- Pro/Ultra subscription for consumer access
- Agentic workflows still being tested
🏆 Bottom Line
Gemini 3.1 Pro represents a genuine leap in AI reasoning capabilities. The 2x improvement on ARC-AGI-2 isn't marketing spin — it reflects meaningful progress in solving novel problems. Combined with the massive context window and competitive pricing, Gemini 3.1 Pro is now a serious contender for any production AI workload.
Rating: 9/10 — The best reasoning-to-cost ratio available in February 2026.
🚀 Try Gemini 3.1 Pro Today
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