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LLM ComparisonGPT-5 NanoClaude 3 Sonnet

GPT-5 Nano vs Claude 3 Sonnet

Compare GPT-5 Nano and Claude 3 Sonnet. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5 NanoClaude 3 Sonnet
ProviderOpenAIAnthropic
Model Typetexttext
Context Window400,000 tokens200,000 tokens
Input Cost
$0.05/ 1M tokens
$3.00/ 1M tokens
Output Cost
$0.40/ 1M tokens
$15.00/ 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 3 Sonnet

Anthropic

1. Speed + Intelligence Blend

  • 2x faster than Claude 2/2.1
  • Strong reasoning with lower cost

2. Enterprise-Ready

  • Designed for high-volume, large-scale deployments
  • Excellent stability for production workloads

3. Versatile Task Performance

  • Great for RAG, search, document understanding
  • High-quality code generation
  • Effective at sales automation and knowledge retrieval

4. Vision Capabilities

  • Reads charts, graphs, images reliably
  • Extracts text from visuals efficiently

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