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Get started freeClaude 4.5 Opus vs Claude 4 Opus
Compare Claude 4.5 Opus and Claude 4 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.5 Opus | Claude 4 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 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 4.5 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.
Claude 4 Opus
Anthropic- Highest capability in the family: described as “our most powerful model yet” by Anthropic.
- Exceptional at long-running tasks requiring thousands of steps and sustained focus (e.g., continuous codebase work for hours).
- Excellent performance on benchmarks: e.g., SWE-bench 72.5 % and Terminal-bench 43.2 %.
- Designed for complex agentic workflows, deep reasoning, tool use, and large context windows.
- Placed under a higher safety classification (ASL-3) due to its frontier capability and risk profile.
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 4.5 Opus
textSupport Ticket Detective: Bucket Audience Problems
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
Customer Complaint Response Generator
Generate professional, empathetic responses to customer complaints that de-escalate situations and rebuild trust.
Differentiated Instruction Planner
Create tiered assignments and scaffolded activities that meet diverse learner needs while maintaining rigorous standards.
Best for Claude 4 Opus
textEmail Campaign (Buyer Journey Nurture)
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Prepare a Case (Outcome Matrix + Preparation Plan)
Map likely outcomes for a dispute and generate a practical preparation plan across facts, evidence, procedure, and settlement.
Lead Generation Strategy (USP-to-Offer Engine)
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
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