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LLM ComparisonClaude 4 SonnetClaude 3.5 Haiku

Claude 4 Sonnet vs Claude 3.5 Haiku

Compare Claude 4 Sonnet and Claude 3.5 Haiku. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4 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 Sonnet

Anthropic
  • Hybrid reasoning: supports both fast (“near-instant”) and extended thinking modes.
  • Optimised for responsiveness, cost and high-volume production workloads.
  • Strong coding performance relative to prior Sonnet versions (improved over Sonnet 3.7).
  • Available even in free tiers (alongside paid plans).
  • Better suited for general-purpose use and agents where speed + cost-efficiency matter.

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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