LLM ComparisonGPT-5.2 CodexQwQ-Plus

GPT-5.2 Codex vs QwQ-Plus

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

Model Comparison

FeatureGPT-5.2 CodexQwQ-Plus
ProviderOpenAIAlibaba Cloud
Model Typetexttext
Context Window400,000 tokens131,072 tokens
Input Cost
$1.75/ 1M tokens
$0.23/ 1M tokens
Output Cost
$14.00/ 1M tokens
$0.57/ 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.

QwQ-Plus

Alibaba Cloud

1. Deep reasoning specialization

  • Competes with DeepSeek-R1 full-performance levels.
  • Excellent for math, proofs, symbolic logic.

2. Strong code reasoning

  • Top-tier LiveCodeBench performance.

3. Chain-of-thought supported

  • Up to 32K reasoning tokens.

4. Reliable structured outputs

  • Consistent on difficult multi-step problems.

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