GPT-4o-mini (2024-07-18) vs Qwen3 VL 30B A3B Thinking (Comparative Analysis)
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Comparative Analysis: GPT-4o-mini (2024-07-18) vs. Qwen3 VL 30B A3B Thinking
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Overview
GPT-4o-mini (2024-07-18) was released 1 year before Qwen3 VL 30B A3B Thinking.
Model Provider The organization behind this AI's development | ||
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 18, 2024 2 years ago July 18th, 2024 | October 6, 2025 9 months ago October 6th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4o-mini (2024-07-18) | Qwen3 VL 30B A3B Thinking | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4o-mini (2024-07-18) is roughly 1.2x more expensive compared to Qwen3 VL 30B A3B Thinking for input tokens and roughly 0.4x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.13 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $1.56 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.07 per million tokens | Not specified |
At a Glance
Quick overview of what makes GPT-4o-mini (2024-07-18) and Qwen3 VL 30B A3B Thinking unique.
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