Claude 4.6 Opus vs Claude 3 Opus
Compare Claude 4.6 Opus and Claude 3 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.6 Opus | Claude 3 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Input Cost | $5.00/ 1M tokens | $15.00/ 1M tokens |
| Output Cost | $25.00/ 1M tokens | $75.00/ 1M tokens |
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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 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 Opus
textEntity-Based Content Enhancement (Semantic SEO)
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Create Discovery Questions (Interrogatories + RFPs + RFAs)
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
Build Emergency Fund
Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Best for Claude 3 Opus
textListing Description Generator (Social + MLS)
Turn basic property details into compelling, SEO-friendly listing copy in two formats: short social teaser and a longer MLS/Zillow description.
High-Converting Vacant Land Listing Description
Write a compelling, benefits-driven vacant land listing description tailored to a specific buyer profile and property features.
Conduct Legal Research & Analysis (Structured Memo)
Generate a structured legal research memo with governing law, key authorities, analysis, and a verification checklist.