Claude 3.5 Sonnet: A Practical Analysis

claude_35_sonnet_benchmarks:
  vs_claude_3_opus:
    coding:
      humaneval: "92.0% vs 84.9%"
      multilingual_math: "91.6% vs 90.7%"
    reasoning:
      gpqa: "59.4% vs 50.4%"
      math: "71.1% vs 60.1%"
    vision:
      mmmu: "68.3% vs 59.4%"

  vs_gpt4o:
    coding: "Comparable or better"
    reasoning: "Competitive"
    vision: "Strong performance"

  speed:
    tokens_per_second: "2x faster than Opus"

  cost:
    input: "$3/1M tokens (vs $15 for Opus)"
    output: "$15/1M tokens (vs $75 for Opus)"
    savings: "80% cheaper than Opus"

practical_implications:
  model_selection:
    before: "Use Opus for hard tasks, Sonnet for simple"
    after: "Sonnet 3.5 handles most tasks Opus did"

  cost_impact:
    example: "1M token conversation"
    opus_cost: ~$45
    sonnet_35_cost: ~$9
    savings: "80%"

  latency:
    opus_typical: "2-4 seconds for complex response"
    sonnet_35_typical: "1-2 seconds"
    user_experience: "Noticeably faster"

artifacts_capabilities:
  code:
    - Interactive code snippets
    - Runnable examples
    - Multi-file projects

  documents:
    - Formatted documents
    - Markdown rendering
    - SVG graphics

  applications:
    - React components (rendered live)
    - Interactive visualizations
    - Simple web apps

coding_assessment:
  strengths:
    - Complex refactoring tasks
    - Multi-file understanding
    - Bug identification and fixes
    - Test generation
    - Documentation

  improvements_over_opus:
    - Better code structure
    - More idiomatic patterns
    - Fewer hallucinated APIs
    - Better error handling

  remaining_challenges:
    - Very large codebases
    - Highly specialized domains
    - Cutting-edge frameworks

# Claude 3.5 Sonnet handles complex refactoring well
# Example: Migrating callback-based code to async/await

# Before (callback hell)
def fetch_user_data(user_id, callback):
    def on_user(user):
        def on_orders(orders):
            def on_preferences(prefs):
                callback({"user": user, "orders": orders, "prefs": prefs})
            get_preferences(user_id, on_preferences)
        get_orders(user_id, on_orders)
    get_user(user_id, on_user)

# Claude 3.5 Sonnet refactored version
async def fetch_user_data(user_id: str) -> UserData:
    user, orders, preferences = await asyncio.gather(
        get_user(user_id),
        get_orders(user_id),
        get_preferences(user_id)
    )
    return UserData(user=user, orders=orders, preferences=preferences)

migration_decision:
  upgrade_immediately:
    - Cost-sensitive applications
    - Latency-sensitive use cases
    - Coding assistants
    - General-purpose chatbots

  test_first:
    - Fine-tuned workflows on Opus
    - Edge cases in your domain
    - Complex multi-step reasoning

  keep_opus_for_now:
    - Specific tasks where Opus still wins
    - Risk-averse production systems
    - Until you've validated thoroughly

migration_checklist:
  before:
    - Benchmark on your specific use cases
    - Run evaluation suite
    - Compare output quality

  during:
    - Update model parameter: "claude-3-5-sonnet-20240620"
    - Monitor error rates
    - Track quality metrics

  after:
    - Compare costs
    - Measure latency improvements
    - Gather user feedback

import anthropic

client = anthropic.Anthropic()

# Claude 3.5 Sonnet
response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=4096,
    messages=[
        {"role": "user", "content": "Analyze this code and suggest improvements..."}
    ]
)

# With vision
response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=4096,
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What's in this diagram?"},
                {
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": "image/png",
                        "data": base64_image
                    }
                }
            ]
        }
    ]
)