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Get started freeClaude 4.6 Sonnet vs Claude 3 Opus
Compare Claude 4.6 Sonnet and Claude 3 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.6 Sonnet | Claude 3 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Input Cost | $3.00/ 1M tokens | $15.00/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $75.00/ 1M tokens |
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Strengths & Best Use Cases
Claude 4.6 Sonnet
Anthropic1. Most capable Sonnet model yet
- Anthropic describes Sonnet 4.6 as its most capable Sonnet model.
- It is a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design.
2. Stronger coding and professional task performance at Sonnet pricing
- Pricing remains at $3/M input and $15/M output, matching Sonnet 4.5.
- Anthropic says early-access developers strongly preferred it to Sonnet 4.5, and often even to Opus 4.5 for practical work.
3. Long-context, agent-friendly reasoning
- Supports up to a 1M token context window in beta.
- Anthropic reports better consistency, fewer false claims of success, fewer hallucinations, and more reliable follow-through on multi-step tasks.
4. Modern API controls for adaptive work
- Supports adaptive thinking and the
effortparameter for balancing speed, cost, and depth. - Gains dynamic filtering for web search and web fetch, helping agent workflows keep only relevant information in context.
Claude 3 Opus
Anthropic1. Intelligence & Reasoning
- Highest capability in the Claude 3 family
- Near-human comprehension and fluency
- Excels at MMLU, GPQA, GSM8K, advanced reasoning tasks
2. Complex Problem Solving
- Best for research, strategy, multi-step planning
- Handles ambiguous, open-ended tasks with ease
3. Vision & Multimodal Capabilities
- Strong chart/graph understanding
- Processes documents, technical diagrams, and dense visual data
4. Recall & Long-Context Reasoning
- Near-perfect recall (>99% on NIAH benchmark)
- Handles very large documents and multi-file workflows
5. Enterprise-Grade Accuracy
- Significantly reduced hallucinations
- High correctness rate for factual queries
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for Claude 4.6 Sonnet
textPrepare a Case (Outcome Matrix + Preparation Plan)
Map likely outcomes for a dispute and generate a practical preparation plan across facts, evidence, procedure, and settlement.
Competitor Gap Finder: Unserved Audience Pain Points
Identify pain points your competitors likely ignore and explain why addressing them builds trust and differentiation.
Learning Objectives Generator
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
Best for Claude 3 Opus
textCreative Short Story Generator
Generate unique short stories with compelling plots, diverse characters, and immersive settings.
Review Miner: Extract Recurring Pain Points
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
Thought Leadership Series (Challenges → Framework)
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
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