Gemma 3n 4B vs Saba (Comparative Analysis)
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Comparative Analysis: Gemma 3n 4B vs. Saba
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Overview
Saba was released 3 months before Gemma 3n 4B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 32.8K tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | Not specified tokens |
Release Date When this model first became publicly available | May 20, 2025 1 year ago May 20th, 2025 | February 17, 2025 1 year ago February 17th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | September 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 3n 4B | Saba | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Mistral |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Gemma 3n 4B is roughly 0.3x less expensive compared to Saba for input tokens and roughly 0.2x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.06 per million tokens | $0.20 per million tokens |
Output Token Cost Cost per million output tokens | $0.12 per million tokens | $0.60 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 3n 4B and Saba.
Coding Index Programming performance across independent evaluations | 3.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemma 3n 4B and Saba unique.
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