Compare GPT-4.1 and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 | QVQ-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 1,047,576 tokens | 131,072 tokens |
| Input Cost | $2.00/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $4.59/ 1M tokens |
1. Smartest non-reasoning model
2. Excellent instruction following
3. Reliable tool calling
4. Large 1M-token context window
5. Low latency (no reasoning step)
6. Multimodal input
7. Supports fine-tuning
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.
Create a brand messaging guide with positioning, value props, proof points, and voice tailored to your persona’s challenges and your USP.
Verify whether a hotel booking meets corporate policy for rate, distance, and cancellation rules before you reserve.
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
Generate three distinct objection-handling scripts for real estate cold calls: empathetic, data-driven, and direct—plus follow-up questions and next steps.
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