Gemini 3.1 Pro vs Gemma 3n 4B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.1 Pro and Gemma 3n 4B.
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
Gemma 3n 4B
Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...
Technical Specifications
| Specification | Gemini 3.1 Pro | Gemma 3n 4B |
|---|---|---|
| Provider | ||
| Context Window | 2,000,000 tokens | 32,768 tokens |
| Agent Suitability | 93/100 | N/A |
| Time to First Token (TTFT) | 420 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-05-20 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
Gemma 3n 4B
$0.06
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
Gemma 3n 4B
$0.12
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio
Gemma 3n 4B Quirks & Gotchas
No developer gotchas reported.