LLM ComparisonClaude 4.5 OpusClaude 3 Sonnet

Claude 4.5 Opus vs Claude 3 Sonnet

Compare Claude 4.5 Opus and Claude 3 Sonnet. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.5 OpusClaude 3 Sonnet
ProviderAnthropicAnthropic
Model Typetexttext
Context Window200,000 tokens200,000 tokens
Input Cost
$5.00/ 1M tokens
$3.00/ 1M tokens
Output Cost
$25.00/ 1M tokens
$15.00/ 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 3 Sonnet

Anthropic

1. Speed + Intelligence Blend

  • 2x faster than Claude 2/2.1
  • Strong reasoning with lower cost

2. Enterprise-Ready

  • Designed for high-volume, large-scale deployments
  • Excellent stability for production workloads

3. Versatile Task Performance

  • Great for RAG, search, document understanding
  • High-quality code generation
  • Effective at sales automation and knowledge retrieval

4. Vision Capabilities

  • Reads charts, graphs, images reliably
  • Extracts text from visuals efficiently

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