GPT-5.2 Codex vs Qwen3-Omni-Flash-Realtime
Compare GPT-5.2 Codex and Qwen3-Omni-Flash-Realtime. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.2 Codex | Qwen3-Omni-Flash-Realtime |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | multimodal |
| Context Window | 400,000 tokens | 65,536 tokens |
| Input Cost | $1.75/ 1M tokens | $0.52/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $1.99/ 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.
Qwen3-Omni-Flash-Realtime
Alibaba Cloud1. Real-time audio streaming
- Built-in VAD for detecting speech.
2. Multimodal reasoning
- Text, audio, image inputs.
3. Great for live agents
- Call centers, tutoring, interactive systems.
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
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Best for Qwen3-Omni-Flash-Realtime
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Create an AI tutor that explains complex concepts in simple terms, adapting to the students learning level and style.