Gemma 3n 4B vs Llama 3.3 70B Instruct
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 Llama 3.3 70B Instruct.
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...
Llama 3.3 70B Instruct
Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.
Technical Specifications
| Specification | Gemma 3n 4B | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | Meta | |
| Context Window | 32,768 tokens | 131,072 tokens |
| Agent Suitability | N/A | 83/100 |
| Time to First Token (TTFT) | N/A | 280 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-05-20 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 3n 4B
$0.06
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
Gemma 3n 4B
$0.12
Llama 3.3 70B Instruct
$0.32
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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.
Llama 3.3 70B Instruct Quirks & Gotchas
- ▸Stable, well-documented self-hosted option with strong community support
- ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows