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GPT-4.1 Mini vs Sonar (Comparative Analysis)

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Comparative Analysis: GPT-4.1 Mini vs. Sonar
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Overview

Sonar was released 2 months before GPT-4.1 Mini.
GPT-4.1 MiniGPT-4.1 Mini
SonarSonar
Model Provider
The organization behind this AI's development
OpenAI logoOpenAI
Perplexity logoPerplexity
Input Context Window
Maximum input tokens this model can process at once
1M
tokens
127.1K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
32.8K
tokens
Not specified
tokens
Release Date
When this model first became publicly available
April 14th, 2025
January 27th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
GPT-4.1 Mini
Sonar
Input Types
Supported input formats
🖼️Image📝Text📁File
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GPTOther
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation

Pricing

GPT-4.1 Mini is roughly 0.4x less expensive compared to Sonar for input tokens and roughly 1.6x more expensive for output tokens.
GPT-4.1 MiniGPT-4.1 Mini
SonarSonar
Input Token Cost
Cost per million input tokens
$0.40
per million tokens
$1.00
per million tokens
Output Token Cost
Cost per million outut tokens
$1.60
per million tokens
$1.00
per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4.1 Mini and Sonar.
GPT-4.1 MiniGPT-4.1 Mini
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 GPT-4.1 Mini and Sonar unique.
OpenAI logoGPT-4.1 Mini by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.40/M input and $1.60/M output tokens. Includes built-in content moderation for safer outputs. Released April 14th, 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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