Code with Google Gemini 3.1 Pro
in AdaL CLI
Google's elite frontier model. 77.1% ARC-AGI-2 reasoning, 80.6% SWE-bench coding, native multimodal vision, and a massive 1M token context window — all at $2 per million tokens.
No credit card required
Why developers choose Gemini 3.1 Pro
Unmatched context size, native vision, and top-tier reasoning
1M Token Context Window
Analyze entire repositories, thousands of files, and long logs in a single pass — 5x larger than Claude's 200K context.
Native Multimodal
Drop architectural diagrams, UI mockups, and error screenshots directly into the CLI. Gemini reasons across vision and code natively.
Best Price-Performance Ratio
At $2/1M input tokens, Gemini 3.1 Pro is 7.5x cheaper than Opus 4.6 while leading on most benchmarks.
#1 on ARC-AGI-2 Reasoning
Scores 77.1% on ARC-AGI-2 abstract reasoning — more than double its predecessor and 8 points ahead of Opus 4.6.
Leads 13 of 16 Benchmarks
Google reports Gemini 3.1 Pro leads on 13 of 16 evaluated benchmarks, including Terminal-Bench 2.0 and BrowseComp.
Configurable Thinking Levels
Choose Low, Medium, or High thinking per request — optimize cost for simple tasks, maximize reasoning for complex ones.
Gemini 3.1 Pro Benchmark Performance
Leading 13 of 16 evaluated benchmarks
| Benchmark | Gemini 3.1 Pro | Opus 4.6 | Sonnet 4.6 | GPT-5.2 |
|---|---|---|---|---|
| Terminal-Bench 2.0 (Agentic terminal coding) | 68.5% | 65.4% | 59.1% | 64.7% |
| SWE-bench Verified (Agentic coding) | 80.6% | 80.8% | 79.6% | 80.0% |
| ARC-AGI-2 (Abstract reasoning) | 77.1% | 68.8% | 58.3% | 52.9% |
| BrowseComp (Agentic search) | 85.9% | 84.0% | 74.7% | 65.8% |
| τ-bench Retail (Agentic tool use) | 90.8% | 91.9% | 91.7% | 82.0% |
| GPQA Diamond (Scientific reasoning) | 94.3% | 91.3% | 89.9% | 92.4% |
How to use Gemini 3.1 Pro
Get started in minutes
Install AdaL CLI
One command install, no Node.js needed. Works on macOS, Linux, and Windows.
Sign up (free)
Create your account — takes less than a minute.
Select Gemini 3.1 Pro
Use /model to pick Gemini 3.1 Pro from the model selector.
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