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Get started freeClaude 4.6 Opus vs Claude 4.5 Opus
Compare Claude 4.6 Opus and Claude 4.5 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.6 Opus | Claude 4.5 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Input Cost | $5.00/ 1M tokens | $5.00/ 1M tokens |
| Output Cost | $25.00/ 1M tokens | $25.00/ 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 4.5 Opus
Anthropic1. Maximum capability with more practical pricing
- Anthropic introduced Opus 4.5 as its most intelligent model, combining maximum capability with practical performance.
- It was positioned as the best model in the world for coding, agents, and computer use at launch, with pricing reduced to $5/M input and $25/M output.
2. Step-change gains for coding and advanced agent work
- Anthropic describes Opus 4.5 as state-of-the-art on real-world software engineering tests.
- It also improved everyday knowledge-work tasks like deep research, slides, and spreadsheets while staying strong on long-horizon agent workflows.
3. Better control over reasoning depth
- Opus 4.5 introduced the
effortparameter, letting developers trade off response thoroughness against token efficiency. - This made it easier to use one flagship model across both high-depth analysis and more cost-sensitive production workloads.
4. Stronger computer use and continuity
- Added enhanced computer use with a zoom action for inspecting detailed screen regions.
- Preserves prior thinking blocks across turns, helping the model maintain reasoning continuity in extended multi-step tasks.
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
textBuild Emergency Fund
Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Differentiated Instruction Planner
Create tiered assignments and scaffolded activities that meet diverse learner needs while maintaining rigorous standards.
AI Tutor - Concept Explainer
Create an AI tutor that explains complex concepts in simple terms, adapting to the students learning level and style.
Best for Claude 4.5 Opus
textEntity-Based Content Enhancement (Semantic SEO)
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Formative Assessment Ideas Generator
Generate diverse formative assessment strategies that check for understanding throughout a lesson without formal testing.
Develop Debt Payoff Strategy
Guide users to financial freedom with this AI prompt, combining financial analysis and psychological insight for personalized debt elimination strategies.
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