GPT-5.2 Codex vs Qwen-Omni-Turbo
Compare GPT-5.2 Codex and Qwen-Omni-Turbo. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 Codex | Qwen-Omni-Turbo |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 400,000 tokens | 32,768 tokens |
| Input Cost | $1.75/ 1M tokens | $0.06/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $0.23/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.2 Codex
OpenAI1. 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-Omni-Turbo
Alibaba Cloud1. Fast multimodal understanding
- Handles text, audio, images.
2. Supports text+audio outputs
- Great for assistants and education.
3. Strong cross-modal alignment
- Solid for recognition, instructions, and conversion tasks.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.2 Codex
textCode Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Meeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.
Bug Fixer & Debugger
Identify bugs in your code, understand why they happen, and get a corrected version.
Best for Qwen-Omni-Turbo
multimodalMeeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.
Customer Success Stories Series (Proof Library)
Create a series of customer success stories that prove your USP and show persona outcomes across common challenges.
Contrarian Blog Series (Challenge Wisdom + Reframe)
Craft a blog series that challenges conventional wisdom and positions your USP as the innovative solution to persona challenges.