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LLM ComparisonGPT-5 NanoClaude 3 Haiku

GPT-5 Nano vs Claude 3 Haiku

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

Model Comparison

FeatureGPT-5 NanoClaude 3 Haiku
ProviderOpenAIAnthropic
Model Typetexttext
Context Window400,000 tokens200,000 tokens
Input Cost
$0.05/ 1M tokens
$0.25/ 1M tokens
Output Cost
$0.40/ 1M tokens
$1.25/ 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 Haiku

Anthropic

1. Speed

  • Fastest model in the Claude 3 family
  • Near-instant responses for chat, support, and live tools

2. Efficiency

  • Most affordable model
  • Ideal for massive-scale applications and low-latency use cases

3. Practical Use Cases

  • Customer support
  • Translations
  • Moderation
  • Logistics, inventory systems
  • Extracting insights from unstructured data

4. Vision Skills

  • Handles charts, images, and diagrams quickly
  • Useful for scanning large volumes of visual data

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