LLM ComparisonGPT-5.2 CodexQwen-Long

GPT-5.2 Codex vs Qwen-Long

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

Model Comparison

FeatureGPT-5.2 CodexQwen-Long
ProviderOpenAIAlibaba Cloud
Model Typetexttext
Context Window400,000 tokens10,000,000 tokens
Input Cost
$1.75/ 1M tokens
$0.07/ 1M tokens
Output Cost
$14.00/ 1M tokens
$0.29/ 1M tokens

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Strengths & Best Use Cases

GPT-5.2 Codex

OpenAI

1. Optimized for Long-Horizon Coding Tasks

  • OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
  • Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.

2. Adjustable Reasoning for Coding Work

  • Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
  • Accepts both text and image inputs while producing text output.

3. Large Context + Long Output

  • 400 k token context window supports broad repository understanding and larger working sets.
  • Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.

4. Up-to-Date Model Snapshot

  • Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
  • Supports streaming, function calling, and structured outputs for tool-driven coding workflows.

Qwen-Long

Alibaba Cloud

1. Extremely long context window

  • Up to 10 million tokens.

2. Ideal for document-heavy workflows

  • Legal, financial, RAG, compliance, research.

3. Low-cost for large-scale ingestion

  • Optimized pricing for big inputs.

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