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LLM ComparisonGPT-5.2Qwen-Flash

GPT-5.2 vs Qwen-Flash

Compare GPT-5.2 and Qwen-Flash. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2Qwen-Flash
ProviderOpenAIAlibaba Cloud
Model Typetexttext
Context Window400,000 tokens1,000,000 tokens
Input Cost
$1.75/ 1M tokens
$0.02/ 1M tokens
Output Cost
$14.00/ 1M tokens
$0.22/ 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.

Qwen-Flash

Alibaba Cloud

1. Ultra-fast, ultra-cheap

  • Designed for mass-scale workloads.
  • Excellent for rewriting, extraction, classification.

2. Limited reasoning but great utility

  • High throughput, low latency.

3. Optional thinking mode

  • Adds chain-of-thought when needed.

4. Supports context cache & batch calls

  • Very cost-effective system design.

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