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LLM ComparisonGPT-5 ProGrok 3 Mini

GPT-5 Pro vs Grok 3 Mini

Compare GPT-5 Pro and Grok 3 Mini. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5 ProGrok 3 Mini
ProviderOpenAIxAI
Model Typetexttext
Context Window400,000 tokens131,072 tokens
Input Cost
$15.00/ 1M tokens
$0.30/ 1M tokens
Output Cost
$120.00/ 1M tokens
$0.50/ 1M tokens

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Strengths & Best Use Cases

GPT-5 Pro

OpenAI

1. Highest reasoning quality in the GPT-5 family

  • Uses significantly more compute to "think harder" before responding.
  • Designed for the toughest reasoning tasks where answer quality matters more than speed.
  • Produces more precise, reliable, and detailed outputs than standard GPT-5.

2. Advanced multi-turn reasoning via Responses API

  • Available only in the Responses API to support:
    • Multi-turn internal model interactions before returning a reply.
    • Advanced control patterns (e.g., background mode for long-running jobs).
  • Ideal for complex workflows, deep planning, and multi-step analysis.

3. Configured for maximum effort by default

  • Always runs with reasoning.effort: 'high' (no lower-effort mode).
  • Prioritizes depth and correctness over latency and cost.

4. Multimodal input

  • Accepts text + image as input.
  • Outputs text, with strong instruction-following and analysis capabilities.

5. Tooling and ecosystem integration

  • Supports Web Search, File Search, and Image Generation (as tools).
  • Supports MCP and other Responses API tooling patterns.
  • Does not support Code Interpreter and does not support Computer Use, keeping focus on pure reasoning + tools.

Grok 3 Mini

xAI

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.

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