LLM ComparisonClaude 4.6 SonnetClaude 3.5 Haiku

Claude 4.6 Sonnet vs Claude 3.5 Haiku

Compare Claude 4.6 Sonnet and Claude 3.5 Haiku. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.6 SonnetClaude 3.5 Haiku
ProviderAnthropicAnthropic
Model Typetexttext
Context Window1,000,000 tokens200,000 tokens
Input Cost
$3.00/ 1M tokens
$0.80/ 1M tokens
Output Cost
$15.00/ 1M tokens
$4.00/ 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 3.5 Haiku

Anthropic

1. Intelligence & Benchmark Performance

  • Matches Claude 3 Opus (previous largest model) on many intelligence tasks.
  • Surpasses Claude 3 Opus on multiple evaluations despite being a smaller, faster model.
  • Major improvements across every skill category vs previous Haiku.

2. Coding Strength

  • Scores 40.6% on SWE-bench Verified, outperforming:

    • Claude 3.5 Sonnet (original version)
    • GPT-4o
    • Many agent-driven systems
  • Excellent for engineering assistants, agent coding tasks, and bug fixing.

3. Speed & Latency

  • Same speed class as Claude 3 Haiku (ultra-fast).
  • Ideal for real-time interactions, high request volumes, and UI responsiveness.

4. Tool Use & Instruction Following

  • Better at following instructions than previous Haiku.
  • Stronger at tool use accuracy, making it reliable for agents and workflows.

5. Best Use Cases

  • High-volume, low-latency tasks
  • User-facing products
  • Sub-agent tasks in larger workflows
  • Processing large structured datasets (pricing, inventory, purchase history)
  • Rapid content or code generation where speed matters

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