Guide-linked quiz · Medium Level
Anthropic Claude Opus and Sonnet Tiers Quiz
Review Claude's Haiku, Sonnet, and Opus tier roles, extended thinking, and Constitutional AI's feedback process across releases.
Question 1 of 8
What naming theme do Haiku, Sonnet, and Opus draw from?
Preview every question8 questions
Answers and explanations appear as you take the quiz.
- What naming theme do Haiku, Sonnet, and Opus draw from?
- A mix of literary and musical terms
- Greek letters only
- Planets
- Colors
- Within Anthropic’s Haiku, Sonnet, and Opus tiers, how is Opus positioned?
- It is the fastest option in every model family
- It is positioned for the most demanding work among Haiku, Sonnet, and Opus
- It is a speech-only model
- It is Anthropic’s only model family
- What approach did Anthropic’s 2022 Constitutional AI paper describe for training a harmless assistant?
- Training only on image labels
- Removing the model’s language data
- Using written principles to guide self-critique and AI-generated feedback
- Using no evaluation or feedback at all
- How does Anthropic position Sonnet among the Claude tiers?
- As a model for image generation only
- As a retired safety policy
- As a slower, most expensive tier in every release
- As a balance of speed and intelligence
- What does Claude’s extended-thinking mode do when supported?
- Spends additional computation reasoning through a complex task before answering
- Responds instantly without computation
- Turns off safety features
- Deletes the conversation history
- Which Claude tier does Anthropic describe as its fastest option?
- Opus
- Haiku
- Sonnet
- Fable
- What follows the self-critique stage in the Constitutional AI paper’s AI-feedback approach?
- The model stops after critique with no further training
- The tokenizer is replaced with an image encoder
- AI-generated preference comparisons train a reward model used for reinforcement learning
- The model is trained only with manually ranked human comparisons
- Which non-text input modality can Claude models support according to Anthropic’s model documentation?
- Lidar point clouds for autonomous driving
- MIDI files as native control commands
- Robot joint torques
- Images
Keep testing yourself
More quizzes picked for your level.