Comparison intermediate · 3 min read

Claude 3.5 Sonnet vs Claude 3 Opus comparison

Quick answer
Claude 3.5 Sonnet offers superior coding and reasoning capabilities with a larger context window, while Claude 3 Opus is optimized for faster, cost-effective general-purpose chat tasks. Both models use Anthropic's latest safety and alignment features but target different workloads.

VERDICT

Use Claude 3.5 Sonnet for complex coding, reasoning, and long-context tasks; use Claude 3 Opus for faster, cost-efficient conversational AI applications.
ModelContext windowSpeedCost/1M tokensBest forFree tier
Claude 3.5 Sonnet100k tokensModerateHigherCoding, reasoning, long documentsYes
Claude 3 Opus32k tokensFasterLowerGeneral chat, quick responsesYes
Claude 3.5 Haiku100k tokensModerateHigherCreative writing, poetryYes
Claude 3 Opus Mini16k tokensFastestLowestLightweight chat, cost-sensitive appsYes

Key differences

Claude 3.5 Sonnet supports a much larger context window (up to 100k tokens) compared to Claude 3 Opus (32k tokens), enabling it to handle longer documents and complex reasoning tasks. Sonnet is optimized for coding and detailed analysis, while Opus focuses on speed and cost efficiency for general conversational use. Both models incorporate Anthropic's latest safety and alignment improvements but differ in latency and pricing tiers.

Side-by-side example

Below is a Python example using the Anthropic SDK to generate a code explanation prompt with both models.

python
import os
import anthropic

client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])

prompt = "Explain this Python code snippet:\n\nfor i in range(5):\n    print(i * i)"

# Using Claude 3.5 Sonnet
response_sonnet = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=200,
    system="You are a helpful coding assistant.",
    messages=[{"role": "user", "content": prompt}]
)

# Using Claude 3 Opus
response_opus = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=200,
    system="You are a helpful coding assistant.",
    messages=[{"role": "user", "content": prompt}]
)

print("Claude 3.5 Sonnet response:\n", response_sonnet.content[0].text)
print("\nClaude 3 Opus response:\n", response_opus.content[0].text)
output
Claude 3.5 Sonnet response:
 This Python code loops from 0 to 4 and prints the square of each number.

Claude 3 Opus response:
 The code iterates over numbers 0 through 4 and prints their squares.

Claude 3 Opus equivalent

This example shows how to use Claude 3 Opus for a quick conversational task, emphasizing speed and cost efficiency.

python
import os
import anthropic

client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])

prompt = "Summarize the key benefits of using AI in healthcare."

response = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=150,
    system="You are a concise and clear assistant.",
    messages=[{"role": "user", "content": prompt}]
)

print(response.content[0].text)
output
AI improves healthcare by enabling faster diagnosis, personalized treatment, and efficient data management, leading to better patient outcomes.

When to use each

Use Claude 3.5 Sonnet when your application requires deep reasoning, coding assistance, or processing very long documents. Choose Claude 3 Opus for faster, cost-effective chatbots and general conversational AI where ultra-long context is not critical.

ScenarioRecommended model
Complex code generation or debuggingClaude 3.5 Sonnet
Long document summarizationClaude 3.5 Sonnet
Customer support chatbotClaude 3 Opus
Quick Q&A or casual conversationClaude 3 Opus

Pricing and access

Both models are accessible via Anthropic's API with free usage quotas. Pricing varies by model complexity and token usage.

OptionFreePaidAPI access
Claude 3.5 SonnetYesYes, higher costYes
Claude 3 OpusYesYes, lower costYes
Claude 3.5 HaikuYesYesYes
Claude 3 Opus MiniYesYes, lowest costYes

Key Takeaways

  • Claude 3.5 Sonnet excels at coding and long-context tasks with a 100k token window.
  • Claude 3 Opus is optimized for speed and cost, ideal for general chat applications.
  • Use the Anthropic SDK with the system= parameter and messages=[{"role": "user", "content": "..."}] format.
  • Both models support free API access but differ in pricing and latency.
  • Choose the model based on your application's complexity and cost sensitivity.
Verified 2026-04 · claude-3-5-sonnet-20241022, claude-3-opus-20240229
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