Build AI products powered by GPT-5 Codex or Qwen-Long - no coding required
Start buildingGPT-5 Codex vs Qwen-Long
Compare GPT-5 Codex and Qwen-Long. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-5 Codex | Qwen-Long |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 400,000 tokens | 10,000,000 tokens |
| Input Cost | $1.25/ 1M tokens | $0.07/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $0.29/ 1M tokens |
Build with it | Build with GPT-5 Codex | Build with Qwen-Long |
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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.
Qwen-Long
Alibaba Cloud1. Extremely long context window
- Up to 10 million tokens.
2. Ideal for document-heavy workflows
- Legal, financial, RAG, compliance, research.
3. Low-cost for large-scale ingestion
- Optimized pricing for big inputs.
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
textMarketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Sales Language Style Guide
Generate a sales language style guide so your team writes consistent outreach with approved phrases, tone rules, and examples.
Customer Complaint Response Generator
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
Best for Qwen-Long
textLead Scoring System (USP Engagement + Pain Signals)
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Real Estate Listing Description
Write captivating property descriptions that highlight key features and attract potential buyers.
Lead Generation Strategy (USP-to-Offer Engine)
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
What AI product will you build?
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Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by GPT-5 Codex or Qwen-Long
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