GPT-5.2 vs Qwen3-Max
Compare GPT-5.2 and Qwen3-Max. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5.2 | Qwen3-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 400,000 tokens | 262,144 tokens |
| Input Cost | $1.75/ 1M tokens | $0.86/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $3.44/ 1M tokens |
Strengths & Best Use Cases
GPT-5.2
OpenAI1. Advanced Reasoning for Diverse Domains
- Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.
2. Multi-Modal & Long-Form Capabilities
- Handles both text and image inputs, producing text output:contentReference[oaicite:1]{index=1}.
- Allows up to 128 k output tokens for lengthy responses:contentReference[oaicite:2]{index=2}.
3. Large Context & Updated Knowledge
- 400 k token context window accommodates extensive codebases or documents:contentReference[oaicite:3]{index=3}.
- Knowledge cut-off of Aug 31 2025 keeps it current with recent developments:contentReference[oaicite:4]{index=4}.
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.
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Best for GPT-5.2
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Best for Qwen3-Max
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Generate personalized cold emails that get responses using proven frameworks and personalization techniques.
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