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LLM ComparisonGPT-5.3 CodexQVQ-Max

GPT-5.3 Codex vs QVQ-Max

Compare GPT-5.3 Codex and QVQ-Max. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.3 CodexQVQ-Max
ProviderOpenAIAlibaba Cloud
Model Typetextvision
Context Window400,000 tokens131,072 tokens
Input Cost
$1.75/ 1M tokens
$1.15/ 1M tokens
Output Cost
$14.00/ 1M tokens
$4.59/ 1M tokens

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Strengths & Best Use Cases

GPT-5.3 Codex

OpenAI

1. Strongest Codex Model for Agentic Engineering

  • OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
  • Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
  • Accepts both text and image inputs while producing text output.

3. Large Context for Real Codebases

  • 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
  • Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.

4. Current Knowledge for Modern Dev Workflows

  • Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
  • Supports streaming, function calling, and structured outputs for agent-style coding workflows.

QVQ-Max

Alibaba Cloud

1. Strongest visual reasoning in Qwen lineup

  • Handles charts, diagrams, puzzles.

2. Great for math + vision hybrids

  • Geometry, visual logic testing.

3. High-quality instruction following

  • Consistent formatting and detailed responses.

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