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Gemma 4 31B vs Saba (Comparative Analysis)

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Comparative Analysis: Gemma 4 31B vs. Saba
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Overview

Saba was released 1 year before Gemma 4 31B.
Gemma 4 31BGemma 4 31B
SabaSaba
Model Provider
The organization behind this AI's development
Google logoGoogle
Mistral logoMistral
Input Context Window
Maximum input tokens this model can process at once
262.1K
tokens
32.8K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
262.1K
tokens
Not specified
tokens
Release Date
When this model first became publicly available
April 2nd, 2026
February 17th, 2025
Knowledge Cutoff
Latest training-data date reported by the provider
Not reported
September 30, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Gemma 4 31B
Saba
Input Types
Supported input formats
🖼️Image📝Text🎬Video
📝Text📁File
Reasoning Controls
Defaults and configurable reasoning effort
Optional
Not reported
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GemmaMistral
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Proprietary

Pricing

Gemma 4 31B is roughly 0.7x less expensive compared to Saba for input tokens and roughly 0.7x less expensive for output tokens.
Gemma 4 31BGemma 4 31B
SabaSaba
Input Token Cost
Cost per million input tokens
$0.14
per million tokens
$0.20
per million tokens
Output Token Cost
Cost per million output tokens
$0.40
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 4 31B and Saba.
Gemma 4 31BGemma 4 31B
SabaSaba
Intelligence Index
Overall model quality across independent evaluations
29.4
(Artificial Analysis index; higher is better)
Benchmark not available.
Coding Index
Programming performance across independent evaluations
43.4
(Artificial Analysis index; higher is better)
Benchmark not available.
Agentic Index
Ability to complete multi-step agentic tasks
14.4
(Artificial Analysis index; higher is better)
Benchmark not available.

At a Glance

Quick overview of what makes Gemma 4 31B and Saba unique.
Google logoGemma 4 31B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.14/M input and $0.40/M output tokens. Released April 2nd, 2026.
Mistral logoSaba 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.

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