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Gemma 3 27B vs Sonar (Comparative Analysis)

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Comparative Analysis: Gemma 3 27B vs. Sonar
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Overview

Sonar was released 1 month before Gemma 3 27B.
Gemma 3 27BGemma 3 27B
SonarSonar
Model Provider
The organization behind this AI's development
Google logoGoogle
Perplexity logoPerplexity
Input Context Window
Maximum input tokens this model can process at once
131.1K
tokens
127.1K
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 12th, 2025
January 27th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Gemma 3 27B
Sonar
Input Types
Supported input formats
📝Text🖼️Image
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GeminiOther
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation

Pricing

Gemma 3 27B is roughly 0.09x less expensive compared to Sonar for input tokens and roughly 0.2x less expensive for output tokens.
Gemma 3 27BGemma 3 27B
SonarSonar
Input Token Cost
Cost per million input tokens
$0.09
per million tokens
$1.00
per million tokens
Output Token Cost
Cost per million outut tokens
$0.16
per million tokens
$1.00
per million tokens

Benchmarks

Compare relevant benchmarks between Gemma 3 27B and Sonar.
Gemma 3 27BGemma 3 27B
SonarSonar
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 Sonar unique.
Google logoGemma 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.
Perplexity logoSonar by Perplexity understands both text and images. It can handle standard conversations with its 127.1K token context window. Reasonably priced at $1.00/M input and $1.00/M output tokens. Released January 27th, 2025.

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