GPT-5 vs Grok 3 Mini

1. 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.

1. 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.