Gemma 3 27B vs Saba (Comparative Analysis)

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Comparative Analysis: Gemma 3 27B vs. Saba

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Overview

Saba was released 23 days before Gemma 3 27B.

	Gemma 3 27B	Saba
Model Provider The organization behind this AI's development	Google	Mistral
Input Context Window Maximum input tokens this model can process at once	131.1K tokens	32.8K tokens
Output Token Limit Maximum output tokens this model can generate at once	16.4K tokens	Not specified tokens
Release Date When this model first became publicly available	March 12, 2025 8 months ago March 12th, 2025	February 17, 2025 9 months ago February 17th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities

	Gemma 3 27B	Saba
Input Types Supported input formats	📝Text🖼️Image	📝Text
Output Types Supported output formats	📝Text	📝Text
Tokenizer Text encoding system	Gemini	Mistral
Key Features Advanced capabilities	✓Function Calling✓Structured OutputReasoning ModeContent Moderation	✓Function Calling✓Structured OutputReasoning ModeContent Moderation

Pricing

Gemma 3 27B is roughly 0.4x less expensive compared to Saba for input tokens and roughly 0.3x less expensive for output tokens.

	Gemma 3 27B	Saba
Input Token Cost Cost per million input tokens	$0.09 per million tokens	$0.20 per million tokens
Output Token Cost Cost per million outut tokens	$0.16 per million tokens	$0.60 per million tokens

Benchmarks

Compare relevant benchmarks between Gemma 3 27B and Saba.

	Gemma 3 27B	Saba
MMLU Measures knowledge across 57 subjects like law, math, history, and science	Benchmark not available.	Benchmark not available.
MMMU Measures understanding of combined text and images across various domains	Benchmark not available.	Benchmark not available.
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations	Benchmark not available.	Benchmark not available.

At a Glance

Quick overview of what makes Gemma 3 27B and Saba unique.

Gemma 3 27B by Google understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.09/M input and $0.16/M output tokens. Released March 12th, 2025.

Saba by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.20/M input and $0.60/M output tokens. Released February 17th, 2025.