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Mistral Nemo vs Saba (Comparative Analysis)

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Comparative Analysis: Mistral Nemo vs. Saba
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Overview

Mistral Nemo was released 7 months before Saba.
Mistral NemoMistral Nemo
SabaSaba
Model Provider
The organization behind this AI's development
Mistral logoMistral
Mistral logoMistral
Input Context Window
Maximum input tokens this model can process at once
32K
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
July 19th, 2024
February 17th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Mistral Nemo
Saba
Input Types
Supported input formats
📝Text
📝Text
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
MistralMistral
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Proprietary

Pricing

Mistral Nemo is roughly 0.04x less expensive compared to Saba for input tokens and roughly 0.08x less expensive for output tokens.
Mistral NemoMistral Nemo
SabaSaba
Input Token Cost
Cost per million input tokens
$0.0075
per million tokens
$0.20
per million tokens
Output Token Cost
Cost per million outut tokens
$0.05
per million tokens
$0.60
per million tokens

Benchmarks

Compare relevant benchmarks between Mistral Nemo and Saba.
Mistral NemoMistral Nemo
SabaSaba
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 Mistral Nemo and Saba unique.
Mistral logoMistral Nemo by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 32K token context window. Very affordable at $0.0075/M input and $0.05/M output tokens. Released July 19th, 2024.
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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