LLM ComparisonClaude 4.6 SonnetClaude 4.6 Opus

Claude 4.6 Sonnet vs Claude 4.6 Opus

Compare Claude 4.6 Sonnet and Claude 4.6 Opus. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.6 SonnetClaude 4.6 Opus
ProviderAnthropicAnthropic
Model Typetexttext
Context Window1,000,000 tokens1,000,000 tokens
Input Cost
$3.00/ 1M tokens
$5.00/ 1M tokens
Output Cost
$15.00/ 1M tokens
$25.00/ 1M tokens

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Strengths & Best Use Cases

Claude 4.6 Sonnet

Anthropic

1. Most capable Sonnet model yet

  • Anthropic describes Sonnet 4.6 as its most capable Sonnet model.
  • It is a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design.

2. Stronger coding and professional task performance at Sonnet pricing

  • Pricing remains at $3/M input and $15/M output, matching Sonnet 4.5.
  • Anthropic says early-access developers strongly preferred it to Sonnet 4.5, and often even to Opus 4.5 for practical work.

3. Long-context, agent-friendly reasoning

  • Supports up to a 1M token context window in beta.
  • Anthropic reports better consistency, fewer false claims of success, fewer hallucinations, and more reliable follow-through on multi-step tasks.

4. Modern API controls for adaptive work

  • Supports adaptive thinking and the effort parameter for balancing speed, cost, and depth.
  • Gains dynamic filtering for web search and web fetch, helping agent workflows keep only relevant information in context.

Claude 4.6 Opus

Anthropic

1. 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 effort parameter, including the new max effort level.
  • Anthropic also introduced fast mode, compaction, and dynamic filtering with web search and web fetch for Opus 4.6-era agent workflows.

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