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LLM ComparisonGrok 4Grok 3 Mini

Grok 4 vs Grok 3 Mini

Compare Grok 4 and Grok 3 Mini. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGrok 4Grok 3 Mini
ProviderxAIxAI
Model Typetexttext
Context Window256,000 tokens131,072 tokens
Input Cost
$3.00/ 1M tokens
$0.30/ 1M tokens
Output Cost
$15.00/ 1M tokens
$0.50/ 1M tokens

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Strengths & Best Use Cases

Grok 4

xAI

1. 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.

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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