Build AI products powered by GPT-5 Codex or QVQ-Max - no coding required
Start buildingGPT-5 Codex vs QVQ-Max
Compare GPT-5 Codex and QVQ-Max. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-5 Codex | QVQ-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 400,000 tokens | 131,072 tokens |
| Input Cost | $1.25/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $4.59/ 1M tokens |
Build with it | Build with GPT-5 Codex | Build with QVQ-Max |
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Strengths & Best Use Cases
GPT-5 Codex
OpenAI1. Purpose-Built for Agentic Coding
- Optimized specifically for scenarios where the model must act as an autonomous or semi-autonomous coding agent.
- Tailored for Codex workflows such as planning, editing, debugging, and multi-step tool-driven code tasks.
2. Advanced Coding Reasoning
- Extends GPT-5's higher reasoning mode to better handle complex software logic and multi-file dependencies.
- Produces more accurate, structured, and maintainable code across modern programming languages.
3. Strong Tool Use in Developer-Like Environments
- Designed for Codex's agent environment, enabling the model to:
- Read and modify files
- Follow function signatures and API contracts
- Navigate codebases with awareness of context and structure
4. Large Context Window for Full-Project Understanding
- 400,000-token context allows ingestion of:
- Entire repositories
- Multiple files at once
- Architectural descriptions
- Enables long-range reasoning across codebases rather than isolated snippets.
5. Multimodal Capability for Development Tasks
- Accepts text and image as input (great for screenshots of error logs, UI mocks, whiteboards).
- Outputs text only, focusing its output precision on code, reasoning, and documentation.
6. Continuous Snapshot Updates
- The underlying model version is regularly upgraded behind the scenes.
- Ensures developers always use the best coding-enhanced GPT-5 variant without changing model names.
7. Reliable Instruction Following
- Very strong adherence to constraints like:
- File/folder structure requirements
- Framework conventions
- Naming patterns
- Linting rules
- Makes it suitable for production coding agents.
8. Broad API Integration
- Available only in the Responses API, giving you:
- Streaming
- Structured outputs
- Function calling
- Allows creation of interactive coding tools and agent workflows with tight model control.
QVQ-Max
Alibaba Cloud1. 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.
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 Codex
textBuild Emergency Fund
Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Avatar Deep Dive: Persona Simulation for Pain Points
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Digital Marketing Plan (Channel + Funnel Blueprint)
Build a comprehensive digital marketing plan that targets a persona, addresses their challenges, and highlights your USP across channels and the funnel.
Best for QVQ-Max
visionInfluencer Campaign (Partner + Brief + Measurement)
Design an influencer marketing campaign that reaches your persona via credible partners while reinforcing your USP and persona challenges.
Thought Leadership Interviews (Experts + Angles)
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
Neighborhood Guide Content Creator (Local Expert Blog)
Outline a high-value neighborhood guide blog post that positions you as the local expert with sections for food, parks/schools, vibe, and commute.
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Cheyanne Carter
Founder & CEO, Edubuddy
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