Compare GPT-4.1 Mini and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Mini | QVQ-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 1,047,576 tokens | 131,072 tokens |
| Input Cost | $0.40/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $1.60/ 1M tokens | $4.59/ 1M tokens |
1. Fast, Lightweight, and Cost-Efficient
2. Strong Instruction Following
3. Reliable Tool Calling & Structured Outputs
4. Multimodal Input (Text + Image)
5. Text-Only Output for Clarity
6. Massive 1M-Token Context Window
7. Practical for Everyday AI Applications
8. Broad API Support
1. Strongest visual reasoning in Qwen lineup
2. Great for math + vision hybrids
3. High-quality instruction following
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Design an event strategy with persona-focused workshops, panels, and networking centered on their challenges and your USP solution.
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Rewrite your rough drafts into polished, professional emails suitable for any business context.
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
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