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LLM ComparisonClaude 4.5 OpusClaude 4 Opus

Claude 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

FeatureClaude 4.5 OpusClaude 4 Opus
ProviderAnthropicAnthropic
Model Typetexttext
Context Window200,000 tokens200,000 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

Anthropic

1. 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 effort parameter, 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.

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