Strengths
What it's the best tool for
- #1 on 12 of 18 benchmarks
- 2× reasoning vs 3 Pro
- 1M context with 65K output budget
- Native SVG and 3D code rendering
- BrowseComp 85.9% agent score
Limitations
When to reach for something else
- Price doubles above 200K tokens
- No native video generation in one flow
- Strict filters on sensitive content
- Latency grows with deep reasoning
Sample output
How Gemini 3.1 Pro responds
Prompt
Given a 3x3 ARC-AGI-2 task with three examples, derive the transformation rule and apply it to the test input. Walk through reasoning step by step.
Gemini 3.1 Pro
Step 1: count input/output colors, notice green cells shift 1 down.
Step 2: verify across all examples — consistent.
Step 3: apply rule to test input and emit output.
Where teams use it
Four scenarios where it pays for itself
01
Browsing agents
BrowseComp 85.9%
02
Science research
GPQA Diamond 94.3%
03
Huge-repo coding
1M context
04
SVG/3D rendering
Native visual output
About model
More about Gemini 3.1 Pro
Gemini 3.1 Pro Online — Google DeepMind's Flagship
Gemini 3.1 Pro launched on February 19, 2026 as Google DeepMind's most capable model: 2× reasoning over 3 Pro, 1M token context. Live on NetRoom with no VPN.
Why it matters
#1 on 12 of 18 tracked benchmarks. Record ARC-AGI-2 77.1%, GPQA Diamond 94.3%. Outstanding agent scores: BrowseComp 85.9%, MCP Atlas 69.2%.
Strengths
Renders SVG and 3D code directly from prompts, 65K output budget, deep reasoning. Pricing stays in line with standard 3 Pro — no reasoning upgrade surcharge.
Who it is for
Researchers, agent teams, browsing-bot devs, analysts with long documents.
Try Gemini 3.1 Pro
right now
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