Claude 4.6 Sonnet vs Claude 4.6 Opus
Compare Claude 4.6 Sonnet and Claude 4.6 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.6 Sonnet | Claude 4.6 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 1,000,000 tokens | 1,000,000 tokens |
| Input Cost | $3.00/ 1M tokens | $5.00/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $25.00/ 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 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.
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
textCold Email Generator
Generate personalized cold emails that get responses using proven frameworks and personalization techniques.
Sales Language Style Guide
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Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Best for Claude 4.6 Opus
textForum Insider: Emotional Pain Points + Empathy Statements
Analyze forum threads and social comments to uncover urgent problems, voice-of-customer language, and empathy statements for marketing copy.
Improve Credit Score
Create a strategic credit improvement plan with this AI prompt, tailored to your unique financial constraints and urgent goals.
Code Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.