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LLM ComparisonGPT-5.2Qwen3-Max

GPT-5.2 vs Qwen3-Max

Compare GPT-5.2 and Qwen3-Max. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2Qwen3-Max
ProviderOpenAIAlibaba Cloud
Model Typetexttext
Context Window400,000 tokens262,144 tokens
Input Cost
$1.75/ 1M tokens
$0.86/ 1M tokens
Output Cost
$14.00/ 1M tokens
$3.44/ 1M tokens

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Strengths & Best Use Cases

GPT-5.2

OpenAI

1. 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.
  • Allows up to 128 k output tokens for lengthy responses.

3. Large Context & Updated Knowledge

  • 400 k token context window accommodates extensive codebases or documents.
  • Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.

Qwen3-Max

Alibaba Cloud

1. 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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