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Get started freeClaude 4.6 Opus vs Claude 3 Sonnet
Compare Claude 4.6 Opus and Claude 3 Sonnet. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.6 Opus | Claude 3 Sonnet |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Input Cost | $5.00/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $25.00/ 1M tokens | $15.00/ 1M tokens |
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Create internal tools for your work that are powered by Claude 4.6 Opus, Claude 3 Sonnet, and other AI models. Just describe what you need and Appaca will create it for you.
Strengths & Best Use Cases
Claude 4.6 Opus
Anthropic1. Anthropic's top model for coding and agents
- Anthropic positions Opus 4.6 as its most intelligent model for building agents and coding.
- It builds on Opus 4.5 with higher reliability and precision for professional software engineering, complex agentic workflows, and high-stakes enterprise tasks.
2. Strong frontier performance on real agent benchmarks
- Anthropic reports state-of-the-art results across coding and agentic evaluations.
- Public benchmark highlights include 65.4% on Terminal-Bench 2.0, 72.7% on OSWorld, and 90.2% on BigLaw Bench.
3. Best fit for long-horizon, high-context work
- Supports up to a 1M token context window in beta and up to 128K output tokens.
- Designed for long-running tasks that need sustained planning, careful debugging, code review, and strong context retention.
4. Advanced reasoning controls and workflow support
- Supports adaptive thinking and the
effortparameter, including the newmaxeffort level. - Anthropic also introduced fast mode, compaction, and dynamic filtering with web search and web fetch for Opus 4.6-era agent workflows.
Claude 3 Sonnet
Anthropic1. 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
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 Opus
textSupport Ticket Detective: Bucket Audience Problems
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
Bug Fixer & Debugger
Identify bugs in your code, understand why they happen, and get a corrected version.
Exit Ticket Creator
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Best for Claude 3 Sonnet
textMarketing Skills Matrix (Hiring + Training Plan)
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Data-Driven Infographics (Trends + Insights)
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.
Email Newsletter Strategy (Curation + Thought Leadership)
Create a newsletter strategy that curates relevant insights for persona challenges while reinforcing your USP and credibility.
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