GPT-5 Nano vs Qwen3-Max
Compare GPT-5 Nano and Qwen3-Max. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5 Nano | Qwen3-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 400,000 tokens | 262,144 tokens |
| Input Cost | $0.05/ 1M tokens | $0.86/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $3.44/ 1M tokens |
Strengths & Best Use Cases
GPT-5 Nano
OpenAI1. Extremely fast performance
- Fastest model in the GPT-5 family.
- Great for real-time workflows, rapid responses, and high-throughput systems.
2. Most cost-efficient GPT-5 model
- Lowest input and output token costs.
- Suitable for large-scale or budget-sensitive applications.
3. Ideal for lightweight, well-scoped tasks
- Excels at summarization, classification, text extraction, and simple logic tasks.
- Best used when tasks are narrow and well-defined.
4. Multimodal input
- Accepts text + image as input.
- Outputs text only.
5. Broad tool support
- Supports Web Search, File Search, Image Generation (as a tool), Code Interpreter, and MCP.
- (Does not support Computer Use.)
Qwen3-Max
Alibaba Cloud1. Best performance in Qwen3 series
- Handles complex multi-step reasoning.
- Excellent for agent programming and tool calling.
2. Massive context window
- 262K tokens enable long multi-document tasks.
- Useful for RAG pipelines, analysis, and long-form workflows.
3. Tiered pricing support
- More cost-efficient for small requests.
- Supports context caching for repeated inputs.
4. Strong general-purpose intelligence
- High accuracy in coding, reasoning, and structured tasks.
- Reliable for enterprise automation.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-5 Nano
textCustomer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Marketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Video Tutorials (Implementation Walkthroughs)
Create video tutorials that teach your persona how to implement your USP solution against specific challenges with clear, actionable guidance.
Best for Qwen3-Max
textMarketing Experimentation Framework (Test + Learn)
Create a marketing experimentation framework to test and optimize persona-targeted messaging and offers that highlight your USP and address challenges.
Resume Bullet Point Optimizer
Transform weak resume responsibilities into strong, results-oriented bullet points.
Product Launch Campaign (Messaging + Timeline)
Plan a product launch campaign that highlights your USP and shows how the new offering solves persona challenges.
Use Appaca to make AI tools powered by GPT-5 Nano or Qwen3-Max
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