LLM ComparisonGPT-5.4o1-pro

GPT-5.4 vs o1-pro

Compare GPT-5.4 and o1-pro. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.4o1-pro
ProviderOpenAIOpenAI
Model Typetexttext
Context Window1,050,000 tokens200,000 tokens
Input Cost
$2.50/ 1M tokens
$150.00/ 1M tokens
Output Cost
$15.00/ 1M tokens
$600.00/ 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.

o1-pro

OpenAI

1. Maximum-compute o-series model

  • Uses significantly more compute per query compared to o1.
  • Produces deeper, more reliable reasoning chains.
  • Best suited for high-stakes tasks that need correctness over speed.

2. Trained with reinforcement learning for deliberate thinking

  • Explicit "think-before-answer" architecture.
  • Excels at complex reasoning requiring multi-step analysis.

3. Very strong at math, science, coding, and technical proofs

  • Handles long derivations, algorithm design, and difficult logic problems.
  • Produces structured and explainable reasoning trails.

4. Great for multi-turn reasoning workflows

  • Responses API optimized: can think over multiple internal turns before responding.
  • Ideal for agentic reasoning pipelines.

5. Large context window

  • 200,000-token context for large documents, multi-file review, and long reasoning traces.

6. Multimodal input (text + image)

  • Can analyze images for mathematical diagrams, charts, handwritten content, UI layouts, etc.
  • Output is text only.

7. Consistency, reliability, and depth

  • Designed for situations where accuracy matters more than latency or cost.
  • Strong error-checking and self-correction abilities.

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