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Get started freeGPT-5.3 Codex vs Grok 3 Mini
Compare GPT-5.3 Codex and Grok 3 Mini. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.3 Codex | Grok 3 Mini |
|---|---|---|
| Provider | OpenAI | xAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 131,072 tokens |
| Input Cost | $1.75/ 1M tokens | $0.30/ 1M tokens |
| Output Cost | $14.00/ 1M tokens | $0.50/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.3 Codex
OpenAI1. Strongest Codex Model for Agentic Engineering
- OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
- Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
- Accepts both text and image inputs while producing text output.
3. Large Context for Real Codebases
- 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
- Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.
4. Current Knowledge for Modern Dev Workflows
- Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
- Supports streaming, function calling, and structured outputs for agent-style coding workflows.
Grok 3 Mini
xAI1. Lightweight but thoughtful reasoning
- Designed to 'think before responding' with accessible raw thought traces.
- Excellent for logic puzzles, lightweight reasoning, and systematic tasks.
2. Extremely cost-efficient
- Only $0.30 per 1M input tokens and $0.50 per 1M output tokens.
- Cached token support lowers cost to $0.075 per 1M tokens.
3. Fast and responsive
- Optimized for low-latency applications and high-throughput use cases.
- Suitable for chatbots, assistants, and automation flows.
4. Supports modern developer features
- Function calling for tool-augmented workflows.
- Structured outputs for schema-controlled responses.
- Integrates cleanly with agents and pipelines.
5. Large 131K context window
- Can understand and work with long documents, transcripts, or multi-turn sessions.
6. Great for non-domain-heavy tasks
- Useful for summarization, rewriting, extraction, everyday reasoning, and app logic.
- Does not require domain expertise to operate effectively.
7. Compatible with enterprise infrastructure
- Stable rate limits: 480 requests per minute.
- Same API structure as all Grok 3 models.
8. Optional Live Search support
- $25 per 1K sources for real-time search augmentation.
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-5.3 Codex
textMeeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.
Cold Outreach Email Generator
Generate high-converting cold emails for sales, networking, or partnerships.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Best for Grok 3 Mini
textUser-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.
Uncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Marketing-to-Sales Enablement Training (USP Talk Track)
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
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