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Anthropic: Claude 3 Sonnet

Anthropic
Vision
200K
Context
$3.00
Input /1M
$15.00
Output /1M
N/A
Max Output
Run API Call Open in Chat

Anthropic: Claude 3 Sonnet

Description

Claude 3 Sonnet is an ideal balance of intelligence and speed for enterprise workloads. Maximum utility at a lower price, dependable, balanced for scaled deployments. It offers excellent performance with lower latency compared to larger Claude models.

Pricing

Type Price
Input $3.00 per 1M tokens
Output $15.00 per 1M tokens

Cost Profile: Mid-tier pricing for Anthropic models. Consider Claude 3 Haiku for cost-sensitive applications or Claude 3.5 Sonnet for improved performance at similar pricing.

Capabilities

  • Multimodal processing (text and image inputs)
  • Text generation output
  • Advanced reasoning
  • Code generation
  • Function calling
  • Structured output generation
  • Extended context understanding
  • Long-form document analysis

Use Cases

  1. Enterprise Chat - Production chatbots
  2. Document Analysis - Long-form document processing
  3. Code Review - Large codebase analysis
  4. Vision Tasks - Image and document understanding
  5. Research Support - Literature synthesis
  6. Content Generation - High-quality writing

Integration with LangMart

Gateway Support: Type 2 (Cloud), Type 3 (Self-hosted)

Recommended Setup:

./core.sh start 2  # Cloud gateway
./core.sh start 3  # Self-hosted gateway

API Usage:

curl -X POST https://api.langmart.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-3-sonnet",
    "messages": [{"role": "user", "content": "Analyze this document..."}],
    "max_tokens": 2048
  }'

Multimodal Example:

{
  "model": "anthropic/claude-3-sonnet",
  "messages": [{
    "role": "user",
    "content": [
      {"type": "text", "text": "What is in this image?"},
      {"type": "image_url", "image_url": {"url": "https://..."}}
    ]
  }]
}

From Anthropic:

  • Claude 3 Opus - More capable, slower, expensive
  • Claude 3 Haiku - Faster, smaller, cheaper
  • Claude 3.5 Sonnet - Newer optimized version
  • Claude 3.5 Opus - Latest flagship

Model Information

Model ID (API): anthropic/claude-3-sonnet

Provider: Anthropic

Release Date: March 5, 2024

Model Architecture: Constitutional AI (CAI) based transformer

Parameters: Not disclosed by Anthropic

Context Window: 200,000 tokens

Input/Output Specifications

Input Modalities: Text, Image

Output Modalities: Text

Max Context: 200,000 tokens

Output Window: Can generate substantial responses

Performance Metrics

Recent Activity: Limited usage data available on LangMart

Inference Speed: Balanced (fast for its capability level)

Reliability: Production-grade

Daily Usage: Steady enterprise adoption

Model Capabilities & Features

Input Capabilities

  • Text Processing: Full language understanding
  • Image Analysis: Vision understanding and description
  • Document Analysis: Extended context handling
  • Code Analysis: Programming language understanding

Supported Parameters

  • Temperature control (0-1)
  • Top-p sampling
  • Max tokens
  • Stop sequences
  • System prompts
  • Tool use parameters

Strengths

  • Excellent reasoning capabilities
  • Large 200K context window
  • Multimodal (text + image)
  • Strong instruction following
  • Production-ready reliability
  • Good cost-performance balance
  • Excellent for long documents
  • Strong coding abilities

Constitutional AI Benefits

  • Value-aligned responses
  • Reduced harmful outputs
  • Balanced and truthful
  • Clear reasoning chains
  • Safe default behavior

Vision Capabilities

Image Support: Yes, via multimodal API

Image Types: PNG, JPEG, GIF, WebP

Use Cases:

  • Chart/diagram analysis
  • Document OCR and extraction
  • Visual question answering
  • Image-based reasoning

Long Context Advantages

200K Context Window Enables:

  • Full document analysis
  • Extended conversations
  • Multi-document analysis
  • Large codebase understanding
  • Comprehensive context retention
  • Novel information synthesis

Performance Recommendations

Best For:

  • Enterprise deployments
  • Long document processing
  • Multimodal applications
  • Vision-enabled systems
  • Cost-conscious teams
  • Balanced performance needs

Ideal Balance:

  • Intelligence: Excellent
  • Speed: Good
  • Cost: Moderate
  • Context: Excellent (200K)

Deployment Characteristics

Recommended For:

  • Production systems
  • Scalable applications
  • Vision-enabled services
  • Long-context workloads
  • Multi-document analysis
  • Vision + language tasks

Strengths:

  • Production-ready
  • Excellent context handling
  • Multimodal capabilities
  • Constitutional AI safety
  • Reliable performance
  • Good cost-performance

Testing Results

Reasoning: Strong (industry-competitive)

Code Generation: Good quality

Vision Capability: Excellent image understanding

Long Context: Superior handling

Reliability: Production-grade

Safety & Alignment

  • Constitutional AI approach
  • Reduced hallucination
  • Safety-first design
  • Ethical alignment
  • Transparent reasoning

References

Last Updated: December 24, 2025