GPT-5.2 vs Grok 3
Compare GPT-5.2 and Grok 3. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | GPT-5.2 | Grok 3 |
|---|---|---|
| Provider | OpenAI | xAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 131,072 tokens |
| Input Cost | $1.75/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $15.00/ 1M tokens |
Strengths & Best Use Cases
GPT-5.2
OpenAI1. Advanced Reasoning for Diverse Domains
- Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.
2. Multi-Modal & Long-Form Capabilities
- Handles both text and image inputs, producing text output:contentReference[oaicite:1]{index=1}.
- Allows up to 128 k output tokens for lengthy responses:contentReference[oaicite:2]{index=2}.
3. Large Context & Updated Knowledge
- 400 k token context window accommodates extensive codebases or documents:contentReference[oaicite:3]{index=3}.
- Knowledge cut-off of Aug 31 2025 keeps it current with recent developments:contentReference[oaicite:4]{index=4}.
Grok 3
xAI1. Strong enterprise-grade reasoning
- Built for deep logical reasoning, structured decision-making, and multi-step analysis.
- Performs exceptionally in domains requiring precision: law, finance, healthcare, and STEM.
2. Excellent at data extraction and summarization
- Optimized for structured extraction from documents, PDFs, tables, and complex text.
- Ideal for enterprise workflows like reporting, compliance automation, or knowledge mining.
3. High-performance coding capabilities
- Excels at code generation, debugging, refactoring, and explaining code.
- Competitive with top-tier coding models for multi-file, long-context code reasoning.
4. Supports function calling and structured outputs
- Integrates cleanly with agent frameworks and external tools.
- Predictable, schema-aligned responses suitable for production systems.
5. Large 131K context window
- Handles long documents, transcripts, contracts, codebases, or multi-document tasks.
- Useful for ingesting highly technical materials in one pass.
6. Efficient cost structure with cached token pricing
- Cached inputs: only $0.75 / 1M tokens, enabling large-scale systems.
- Encourages reuse for powerful retrieval-augmented workflows.
7. Enterprise reliability and availability
- Supported across multiple regions (us-east-1, eu-west-1).
- Consistent rate limits: 600 requests/min.
- Suitable for production-grade apps with stability requirements.
8. Supports advanced search capabilities
- Optional Live Search add-on for real-time knowledge retrieval.
- Pricing: $25 per 1K sources.
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for GPT-5.2
textEmail Subject Line Generator
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
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.
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Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Best for Grok 3
textLead Generation Strategy (USP-to-Offer Engine)
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Content Repurposing System (1 → Many Channels)
Build a content repurposing system that extends your best messaging across channels while keeping the USP and persona challenges consistent.
Marketing Experimentation Framework (Test + Learn)
Create a marketing experimentation framework to test and optimize persona-targeted messaging and offers that highlight your USP and address challenges.
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