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Get started freeGPT-5 Nano vs Grok 4
Compare GPT-5 Nano and Grok 4. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Nano | Grok 4 |
|---|---|---|
| Provider | OpenAI | xAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 256,000 tokens |
| Input Cost | $0.05/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $15.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5 Nano
OpenAI1. Extremely fast performance
- Fastest model in the GPT-5 family.
- Great for real-time workflows, rapid responses, and high-throughput systems.
2. Most cost-efficient GPT-5 model
- Lowest input and output token costs.
- Suitable for large-scale or budget-sensitive applications.
3. Ideal for lightweight, well-scoped tasks
- Excels at summarization, classification, text extraction, and simple logic tasks.
- Best used when tasks are narrow and well-defined.
4. Multimodal input
- Accepts text + image as input.
- Outputs text only.
5. Broad tool support
- Supports Web Search, File Search, Image Generation (as a tool), Code Interpreter, and MCP.
- (Does not support Computer Use.)
Grok 4
xAI1. Flagship-level reasoning and math performance
- Designed for world-class reasoning depth, precision, and multi-step logical chains.
- Excels at STEM, mathematics, symbolic operations, proofs, and analytical workloads.
2. Powerful multimodal understanding
- Supports text, images, and other modalities.
- Handles cross-modal reasoning tasks requiring context synthesis.
3. Extreme capability across diverse tasks
- Positioned as a top-tier 'jack of all trades' model.
- Strong in natural language, coding, knowledge retrieval, and structured generation.
4. Large 256K context window
- Enables analysis of long documents, entire codebases, multi-document packs, and extensive agent sessions.
- Supports workloads that require persistent reasoning across large inputs.
5. Advanced developer tooling support
- Function calling for tool-augmented workflows.
- Structured outputs for predictable, schema-controlled generation.
- Integrates smoothly with agents and complex automation pipelines.
6. Efficient caching for cost reduction
- Cached input tokens discounted to $0.75 / 1M tokens.
- Encourages RAG, retrieval pipelines, and multi-step conversational workflows.
7. Production-ready performance
- Stable rate limits: 480 requests per minute.
- High token throughput: 2,000,000 tokens per minute.
- Available across multiple xAI regional clusters.
8. Optional Live Search augmentation
- Add-on: $25 per 1K sources.
- Enhances factual accuracy and real-time information retrieval.
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 Nano
textCustomer Advocacy Program (Activate Champions)
Create a customer advocacy program that turns satisfied customers into credible proof of your USP and a source of persona-aligned leads.
Entity-Based Content Enhancement (Semantic SEO)
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Assessment Rubric Builder
Create detailed scoring rubrics for any assignment type with clear criteria and performance level descriptors.
Best for Grok 4
textCustomer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
Thought Leadership Interviews (Experts + Angles)
Plan a thought leadership interview series featuring experts discussing persona challenges and how your USP relates to solutions.
SERP Feature Forecasting + Content Structure
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
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