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GPT-4o-mini vs Qwen3 Max (Comparative Analysis)

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Comparative Analysis: GPT-4o-mini vs. Qwen3 Max
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Overview

GPT-4o-mini was released 1 year before Qwen3 Max.
GPT-4o-miniGPT-4o-mini
Qwen3 MaxQwen3 Max
Model Provider
The organization behind this AI's development
OpenAI logoOpenAI
Qwen logoQwen
Input Context Window
Maximum input tokens this model can process at once
128K
tokens
262.1K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
16.4K
tokens
32.8K
tokens
Release Date
When this model first became publicly available
July 18th, 2024
September 23rd, 2025
Knowledge Cutoff
Latest training-data date reported by the provider
October 31, 2023
June 30, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
GPT-4o-mini
Qwen3 Max
Input Types
Supported input formats
📝Text🖼️Image📁File
📝Text
Reasoning Controls
Defaults and configurable reasoning effort
Not reported
Optional
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GPTQwen3
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation

Pricing

GPT-4o-mini is roughly 0.2x less expensive compared to Qwen3 Max for input tokens and roughly 0.2x less expensive for output tokens.
GPT-4o-miniGPT-4o-mini
Qwen3 MaxQwen3 Max
Short Context Pricing
Base rates before a long-context threshold applies
Input Token Cost
Cost per million input tokens
$0.15
per million tokens
$0.78
per million tokens
Output Token Cost
Cost per million output tokens
$0.60
per million tokens
$3.90
per million tokens
Cache Read Cost
Cost to reuse cached input tokens
$0.07
per million tokens
$0.16
per million tokens
Cache Write Cost
Cost to write input tokens to the cache
Not specified
$0.97
per million tokens
Long Context Pricing
Rates for prompts with 32,000 or more tokens
Input Token Cost
Long-context input cost per million tokens
Not specified
$1.56
per million tokens
Output Token Cost
Long-context output cost per million tokens
Not specified
$7.80
per million tokens
Cache Read Cost
Long-context cache read cost per million tokens
Not specified
$0.31
per million tokens
Cache Write Cost
Long-context cache write cost per million tokens
Not specified
$1.95
per million tokens
Long Context Pricing
Rates for prompts with 128,000 or more tokens
Input Token Cost
Long-context input cost per million tokens
Not specified
$1.95
per million tokens
Output Token Cost
Long-context output cost per million tokens
Not specified
$9.75
per million tokens
Cache Read Cost
Long-context cache read cost per million tokens
Not specified
$0.39
per million tokens
Cache Write Cost
Long-context cache write cost per million tokens
Not specified
$2.44
per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4o-mini and Qwen3 Max.
GPT-4o-miniGPT-4o-mini
Qwen3 MaxQwen3 Max
Coding Index
Programming performance across independent evaluations
11.4
(Artificial Analysis index; higher is better)
Benchmark not available.
Agentic Index
Ability to complete multi-step agentic tasks
1
(Artificial Analysis index; higher is better)
Benchmark not available.
Best Design Arena Score
Highest human-preference Elo score across design arenas
Benchmark not available.
1,170 Elo
(#36 in Asciiart (47.2% win rate))

At a Glance

Quick overview of what makes GPT-4o-mini and Qwen3 Max unique.
OpenAI logoGPT-4o-mini by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.15/M input and $0.60/M output tokens. Includes built-in content moderation for safer outputs. Released July 18th, 2024.
Qwen logoQwen3 Max by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.78/M input and $3.90/M output tokens. Released September 23rd, 2025.

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