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Get started freeGPT-5.5 vs Qwen-Long
Compare GPT-5.5 and Qwen-Long. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.5 | Qwen-Long |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 1,000,000 tokens | 10,000,000 tokens |
| Input Cost | $5.00/ 1M tokens | $0.07/ 1M tokens |
| Output Cost | $30.00/ 1M tokens | $0.29/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.5
OpenAI1. Strongest Agentic Coding Model
- State-of-the-art on Terminal-Bench 2.0 (82.7%), Expert-SWE (73.1%), and SWE-Bench Pro (58.6%), outperforming GPT-5.4 on complex coding tasks.
- Holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases with fewer tokens.
2. Higher Intelligence at GPT-5.4 Latency
- Co-designed, trained, and served on NVIDIA GB200/GB300 NVL72 systems to match GPT-5.4 per-token latency while performing at a significantly higher level.
- Uses fewer tokens to complete the same tasks, making it more efficient as well as more capable.
3. Powerful for Knowledge Work & Computer Use
- Scores 84.9% on GDPval (44 occupations) and 78.7% on OSWorld-Verified for autonomous computer operation.
- Excels at generating documents, spreadsheets, and reports; naturally moves across finding information, using tools, and checking output.
4. Scientific Research Co-Scientist
- Leading performance on GeneBench, BixBench, and FrontierMath; helped discover a new proof about Ramsey numbers verified in Lean.
- Strong enough to meaningfully accelerate progress at the frontiers of biomedical and mathematical research.
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-5.5
textThought Leadership Series (Challenges → Framework)
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
SERP Feature Forecasting + Content Structure
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Content Marketing Strategy (Thought Leadership)
Create a persona-first content strategy that positions your brand as a thought leader and connects your USP to the challenges you solve.
Best for Qwen-Long
textE-commerce Product Description
Create persuasive, SEO-friendly product descriptions that convert visitors into 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.
Employee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
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