GPT-4o-mini vs Qwen2.5 VL 72B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-4o-mini vs. Qwen2.5 VL 72B Instruct
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Overview
GPT-4o-mini was released 6 months before Qwen2.5 VL 72B Instruct.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 128K tokens |
Release Date When this model first became publicly available | July 18, 2024 2 years ago July 18th, 2024 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4o-mini | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4o-mini is roughly 0.2x less expensive compared to Qwen2.5 VL 72B Instruct for input tokens and roughly 0.6x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.80 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $1.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.07 per million tokens | $0.40 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4o-mini and Qwen2.5 VL 72B Instruct.
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. |
At a Glance
Quick overview of what makes GPT-4o-mini and Qwen2.5 VL 72B Instruct unique.
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Compare Qwen2.5 VL 72B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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Multilingual translation tasks