o4 Mini vs Qwen3 VL 30B A3B Instruct (Comparative Analysis)
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Comparative Analysis: o4 Mini vs. Qwen3 VL 30B A3B Instruct
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Overview
o4 Mini was released 5 months before Qwen3 VL 30B A3B Instruct.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 200K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 100K tokens | 16.4K tokens |
Release Date When this model first became publicly available | April 16, 2025 1 year ago April 16th, 2025 | October 6, 2025 9 months ago October 6th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
o4 Mini | Qwen3 VL 30B A3B Instruct | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
o4 Mini is roughly 7.3x more expensive compared to Qwen3 VL 30B A3B Instruct for input tokens and roughly 7.3x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $1.10 per million tokens | $0.15 per million tokens |
Output Token Cost Cost per million output tokens | $4.40 per million tokens | $0.60 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.28 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between o4 Mini and Qwen3 VL 30B A3B Instruct.
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,060 Elo (#88 in Game Dev (50.0% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes o4 Mini and Qwen3 VL 30B A3B Instruct unique.
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