LLM ComparisonGPT-5.4Grok 3

GPT-5.4 vs Grok 3

Compare GPT-5.4 and Grok 3. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.4Grok 3
ProviderOpenAIxAI
Model Typetexttext
Context Window1,050,000 tokens131,072 tokens
Input Cost
$2.50/ 1M tokens
$3.00/ 1M tokens
Output Cost
$15.00/ 1M tokens
$15.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5.4

OpenAI

1. Best Intelligence at Scale

  • OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
  • Built for complex professional work where stronger reasoning and higher answer quality matter.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
  • Accepts both text and image inputs while producing text output.

3. Massive Context for Long-Running Work

  • 1.05M token context window supports very large codebases, documents, and multi-step workflows.
  • Allows up to 128 k output tokens for long-form answers and larger generations.

4. Updated Knowledge & Broad Tool Support

  • Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
  • Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.

Grok 3

xAI

1. 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.

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