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Compare GPT-5 and Grok 4. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 | Grok 4 |
|---|---|---|
| Provider | OpenAI | xAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 256,000 tokens |
| Input Cost | $1.25/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $15.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5
OpenAI1. High reasoning capability
- Designed for intelligent reasoning across complex domains.
- Supports reasoning tokens and adjustable reasoning effort.
2. Strong coding and agentic performance
- Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
- Handles complex logic, planning, and structured problem solving reliably.
3. Multimodal input
- Accepts text + image as input.
- Produces text outputs with strong instruction following.
4. Extensive tool support
- Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
- Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.
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
textMarketing Budget & Resource Allocation Plan
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
Brand Messaging Guide (Persona + USP)
Create a brand messaging guide with positioning, value props, proof points, and voice tailored to your persona’s challenges and your USP.
User-Generated Content Campaign (Social Proof at Scale)
Create a UGC campaign that encourages your persona to share wins and stories that prove your USP and relate to common challenges.
Best for Grok 4
textCustomer Retention Strategy (Loyalty + Expansion)
Develop a retention strategy that reinforces your USP, improves customer outcomes, and responds to evolving persona challenges.
Marketing Skills Matrix (Hiring + Training Plan)
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Video Marketing Strategy (Storytelling + Proof)
Build a video marketing strategy that uses storytelling to show how your USP transforms persona challenges into outcomes.
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