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Compare different models based on their relative strengths and weaknesses.

ModelProsCons
GPT-5
  • Suitable for a wide range of tasks, including higher level tasks.
  • Ideal for PDF and/or image comprehension.
  • Offers complex reasoning and in-depth analysis.
  • Supports coding workflows.
  • Other models by be more suitable for more specialized tasks.
    • See Model Quick Guide for more in-depth descriptions of the models and their specialities.
  • Uses more credits on average.
GPT-5-mini
  • Higher speed and efficiency than other GPT models.
  • Ideal for users that are new to using GenAI.
  • Designed for smaller tasks.
  • Uses less credits on average. 
  • Not the best for more high-level tasks.
  • Other models may be more suitable for more specialized tasks. 
GPT-5 Codex
  • Specialized for software engineering and coding tasks.
  • Supports interactive coding sessions, including assistance, debugging, and refactoring.
  • Also capable of independent code generation.
  • Not the best for non-coding based tasks.
  • Slightly higher latency on average. 
DeepSeek-R1
  • Designed for high-level and complex tasks.
  • Uses deep reasoning in answer generation.
  • Higher latency on average due to the model's deep thinking.
  • Uses more credits on average.
Claude 4.5 Sonnet
  • Specialized for coding, reasoning, and mathematics.
  • Provides advanced capabilities in interacting and using computers.
  • Ideal base model for a complex agent.
  • Designed for large- to moderately-sized tasks.
  • May need user intervention to avoid "overwriting" (generating unnecessary documentation and reports on the given task).
  • Slightly higher latency on average.
Claude 4.5 Haiku
  • Ideal for smaller tasks, such as interactive coding sessions.
  • Provides advanced capabilities in interacting and using computers.
  • Optimized for speed and efficiency.
  • Uses less credits on average. 
  • Not the best model for large-scale tasks.
LLaMA 3 70B Instruct
  • Lower latency on average.
  • Prioritizes speed and efficiency.
  • Lighter-weight model designed for smaller tasks.
  • Responses can sometimes be long and unclear.
Web Search AI
  • Can use and report on information from the Internet.
  • Ideal for prompts needing more up-to-date information such as news and current events.
  • Higher latency on average.
  • Possible pulling from unreliable sources on the Internet.
Mistral Small 2402
  • Cost effective (uses less credits on average).
  • Designed for smaller tasks.
  • Not the best for high-level tasks.
Grok 3
  • Integrated with X (formerly known as Twitter).
  • Knowledge of current events and pop culture. 
  • Not the best for tasks that require complex reasoning. 
DALL-E 3 Image Generator
  • Highly specialized for image generation.
  • Resultant images may have qualities indicative of AI usage.
  • Uses more credits on average.