Build AI products powered by GPT-4 Turbo or Qwen3-Max - no coding required
Start buildingGPT-4 Turbo vs Qwen3-Max
Compare GPT-4 Turbo and Qwen3-Max. Build AI products powered by either model on Appaca.
Get startedModel Comparison
| Feature | GPT-4 Turbo | Qwen3-Max |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 128,000 tokens | 262,144 tokens |
| Input Cost | $10.00/ 1M tokens | $0.86/ 1M tokens |
| Output Cost | $30.00/ 1M tokens | $3.44/ 1M tokens |
Build with it | Build with GPT-4 Turbo | Build with Qwen3-Max |
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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.
Qwen3-Max
Alibaba Cloud1. Best performance in Qwen3 series
- Handles complex multi-step reasoning.
- Excellent for agent programming and tool calling.
2. Massive context window
- 262K tokens enable long multi-document tasks.
- Useful for RAG pipelines, analysis, and long-form workflows.
3. Tiered pricing support
- More cost-efficient for small requests.
- Supports context caching for repeated inputs.
4. Strong general-purpose intelligence
- High accuracy in coding, reasoning, and structured tasks.
- Reliable for enterprise automation.
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
textExit Ticket Creator
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Craft Catchy Sales Emails
Write high-converting sales emails with strong hooks, clear value, and a single focused CTA-optimized for your audience and offer.
Website Marketing Chatbot (Personalized Guidance)
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Best for Qwen3-Max
textMarketing Skills Matrix (Hiring + Training Plan)
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Dead Lead Re-Engagement Campaign (3 Emails)
Write a 3-email re-engagement sequence to revive cold buyer/seller leads using a check-in, a value add market update, and a break-up email.
Email Subject Line Generator
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
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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 Qwen3-Max
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