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LLM ComparisonGPT-5 NanoClaude 4 Opus

GPT-5 Nano vs Claude 4 Opus

Compare GPT-5 Nano and Claude 4 Opus. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5 NanoClaude 4 Opus
ProviderOpenAIAnthropic
Model Typetexttext
Context Window400,000 tokens200,000 tokens
Input Cost
$0.05/ 1M tokens
$15.00/ 1M tokens
Output Cost
$0.40/ 1M tokens
$75.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5 Nano

OpenAI

1. Extremely fast performance

  • Fastest model in the GPT-5 family.
  • Great for real-time workflows, rapid responses, and high-throughput systems.

2. Most cost-efficient GPT-5 model

  • Lowest input and output token costs.
  • Suitable for large-scale or budget-sensitive applications.

3. Ideal for lightweight, well-scoped tasks

  • Excels at summarization, classification, text extraction, and simple logic tasks.
  • Best used when tasks are narrow and well-defined.

4. Multimodal input

  • Accepts text + image as input.
  • Outputs text only.

5. Broad tool support

  • Supports Web Search, File Search, Image Generation (as a tool), Code Interpreter, and MCP.
  • (Does not support Computer Use.)

Claude 4 Opus

Anthropic
  • Highest capability in the family: described as “our most powerful model yet” by Anthropic.
  • Exceptional at long-running tasks requiring thousands of steps and sustained focus (e.g., continuous codebase work for hours).
  • Excellent performance on benchmarks: e.g., SWE-bench 72.5 % and Terminal-bench 43.2 %.
  • Designed for complex agentic workflows, deep reasoning, tool use, and large context windows.
  • Placed under a higher safety classification (ASL-3) due to its frontier capability and risk profile.