Build AI products powered by GPT-4 Turbo or QwQ-Plus - no coding required
Start buildingGPT-4 Turbo vs QwQ-Plus
Compare GPT-4 Turbo and QwQ-Plus. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-4 Turbo | QwQ-Plus |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 128,000 tokens | 131,072 tokens |
| Input Cost | $10.00/ 1M tokens | $0.23/ 1M tokens |
| Output Cost | $30.00/ 1M tokens | $0.57/ 1M tokens |
Build with it | Build with GPT-4 Turbo | Build with QwQ-Plus |
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Power your AI product with GPT-4 Turbo, QwQ-Plus, or any supported model. Switch anytime.
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Strengths & Best Use Cases
GPT-4 Turbo
OpenAI1. Strong reasoning for its generation
- Next-gen version of GPT-4 designed to be cheaper and faster than the original.
- Good for analytical tasks, structured writing, coding guidance, and multi-step reasoning.
2. Image input support
- Accepts images and provides text-only outputs.
- Useful for OCR, visual Q&A, document extraction, UI analysis, and design interpretation.
3. Stable performance
- Predictable model behavior suitable for legacy systems still built on GPT-4.
- Works reliably for established pipelines and enterprise workloads.
4. Large 128K context window
- Handles long documents, multi-file inputs, or extended conversational sessions.
- Allows complex prompt chaining and large instruction sets.
5. Broad endpoint compatibility
- Works with Chat Completions, Responses API, Realtime API, Assistants, Batch, Fine-tuning, Embeddings, and more.
- Supports streaming and function calling.
6. Good choice for cost-controlled GPT-4-class workloads
- Although older, still useful for teams who want GPT-4-level reasoning without upgrading immediately.
- A midpoint between legacy GPT-4 and modern GPT-4o/5.1 models.
7. Text-only output simplifies downstream use
- Ensures deterministic outputs for applications that need reliable text generation.
- Good for RAG, data pipelines, automation tools, and enterprise systems.
8. Recommended migration path
- OpenAI now recommends using GPT-4o or GPT-5.1 for improved speed, cost, reasoning, and multimodal capability.
- GPT-4 Turbo remains available for backward compatibility and stability.
QwQ-Plus
Alibaba Cloud1. Deep reasoning specialization
- Competes with DeepSeek-R1 full-performance levels.
- Excellent for math, proofs, symbolic logic.
2. Strong code reasoning
- Top-tier LiveCodeBench performance.
3. Chain-of-thought supported
- Up to 32K reasoning tokens.
4. Reliable structured outputs
- Consistent on difficult multi-step problems.
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-4 Turbo
textCode Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Competitor Gap Finder: Unserved Audience Pain Points
Identify pain points your competitors likely ignore and explain why addressing them builds trust and differentiation.
Social Listening Strategy (Signals + Opportunities)
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
Best for QwQ-Plus
textVacant Land Market Analysis (High-Profit Counties)
Identify top counties/metros for vacant land flips by comparing appreciation, liquidity, and demand signals across target regions.
Email Campaign (Buyer Journey Nurture)
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Create Discovery Questions (Interrogatories + RFPs + RFAs)
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
What AI product will you build?
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“I've built with various AI tools and have found Appaca to be the most efficient and user-friendly solution.”
Cheyanne Carter
Founder & CEO, Edubuddy
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Build AI products powered by GPT-4 Turbo or QwQ-Plus
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