GPT-4o-mini vs Qwen2.5 7B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-4o-mini vs. Qwen2.5 7B Instruct
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Overview
GPT-4o-mini was released 3 months before Qwen2.5 7B Instruct.
 GPT-4o-mini |  Qwen2.5 7B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 32.8K 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 16, 2024 1 year ago October 16th, 2024 |
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 7B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
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 3.8x more expensive compared to Qwen2.5 7B Instruct for input tokens and roughly 6.0x more expensive for output tokens.
| GPT-4o-mini | Qwen2.5 7B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.04 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $0.10 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.07 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-4o-mini and Qwen2.5 7B Instruct.
| GPT-4o-mini | Qwen2.5 7B 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 7B Instruct unique.
GPT-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.Qwen2.5 7B Instruct by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.04/M input and $0.10/M output tokens. Released October 16th, 2024.Explore More Comparisons
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Compare Qwen2.5 7B 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
Scientific research and analysis
🌐Translation
Multilingual translation tasks