Compare GPT-5 Nano and GPT-4 Turbo. Find out which model is better for your specific use case and requirements.
| Feature | GPT-5 Nano | GPT-4 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $0.05/ 1M tokens | $10.00/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $30.00/ 1M tokens |
1. Extremely fast performance
2. Most cost-efficient GPT-5 model
3. Ideal for lightweight, well-scoped tasks
4. Multimodal input
5. Broad tool support
1. Strong reasoning for its generation
2. Image input support
3. Stable performance
4. Large 128K context window
5. Broad endpoint compatibility
6. Good choice for cost-controlled GPT-4-class workloads
7. Text-only output simplifies downstream use
8. Recommended migration path
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
Create video tutorials that teach your persona how to implement your USP solution against specific challenges with clear, actionable guidance.
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
Design detailed, standards-aligned lesson plans with engaging activities, assessments, and differentiated instruction strategies.
Turn a vague SEO task into a precise, high-quality prompt with role, goal, formatting rules, and required inputs.
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