Gemma 3n 4B vs Kimi K2 0711
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 Gemma 3n 4B and Kimi K2 0711.
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...
Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Technical Specifications
| Specification | Gemma 3n 4B | Kimi K2 0711 |
|---|---|---|
| Provider | Moonshot AI | |
| Context Window | 32,768 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-05-20 | 2025-07-11 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 3n 4B
$0.06
Kimi K2 0711
$0.57
Output Price per Million Tokens
Gemma 3n 4B
$0.12
Kimi K2 0711
$2.30
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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.
Gemma 3n 4B Quirks & Gotchas
No developer gotchas reported.
Kimi K2 0711 Quirks & Gotchas
No developer gotchas reported.