LLM Providers Compared: Claude vs OpenAI vs Local Models

Overview

Choosing the right LLM provider affects your bot's response quality, cost, and capabilities. This guide compares the main options for self-hosted bots like OpenClaw.

Quick Comparison

| Provider | Best For | Cost | Quality | Speed | |----------|----------|------|---------|-------| | Claude (Anthropic) | Complex tasks, safety | Medium | Excellent | Fast | | GPT-4 (OpenAI) | General purpose | Medium | Excellent | Fast | | GPT-3.5 | Budget, high volume | Low | Good | Very Fast | | Local (Ollama) | Privacy, unlimited | Free* | Variable | Depends |

*Hardware costs apply

Claude (Anthropic)

Models

| Model | Use Case | Cost per 1M tokens | |-------|----------|-------------------| | Claude 3.5 Sonnet | Best balance | $3 input / $15 output | | Claude 3 Haiku | Fast, cheap | $0.25 input / $1.25 output | | Claude 3 Opus | Complex reasoning | $15 input / $75 output |

Strengths

• Helpful and harmless: Strong safety features
• Long context: Up to 200K tokens
• Excellent writing: Natural, engaging responses
• Code generation: Strong programming abilities
• Following instructions: Excellent at specific tasks

Best For

• Customer-facing bots
• Content creation
• Code assistance
• Complex reasoning
• Safety-critical applications

Configuration

AI_PROVIDER=anthropic
ANTHROPIC_API_KEY=sk-ant-...
AI_MODEL=claude-3-5-sonnet-20241022
MAX_TOKENS=4096

OpenAI GPT

Models

| Model | Use Case | Cost per 1M tokens | |-------|----------|-------------------| | GPT-4o | Latest, best | $5 input / $15 output | | GPT-4 Turbo | Complex tasks | $10 input / $30 output | | GPT-3.5 Turbo | Budget option | $0.50 input / $1.50 output |

Strengths

• Ecosystem: Huge developer ecosystem
• Plugins/Functions: Advanced tool use
• Fine-tuning: Available for custom training
• Vision: Image understanding built-in
• Consistency: Well-established behavior

Best For

• General chatbots
• Developer tools
• Multi-modal applications
• High-volume, budget-conscious

Configuration

AI_PROVIDER=openai
OPENAI_API_KEY=sk-...
AI_MODEL=gpt-4o
MAX_TOKENS=4096

Local Models (Ollama)

Popular Models

| Model | Size | RAM Needed | Quality | |-------|------|------------|---------| | Llama 3 8B | 4.7GB | 8GB | Good | | Llama 3 70B | 40GB | 48GB | Excellent | | Mistral 7B | 4.1GB | 8GB | Good | | Mixtral 8x7B | 26GB | 32GB | Very Good | | Phi-3 | 2.3GB | 4GB | Fair |

Strengths

• Privacy: Data never leaves your server
• No API costs: After hardware investment
• Unlimited usage: No rate limits
• Customizable: Full control over model
• Offline capable: Works without internet

Limitations

• Hardware requirements: Need powerful VPS or GPU
• Quality gap: Generally behind GPT-4/Claude
• Setup complexity: More technical knowledge needed
• Updates: Manual model updates required

Best For

• Privacy-critical applications
• High-volume, low-budget
• Offline requirements
• Experimentation

Configuration

AI_PROVIDER=ollama
OLLAMA_HOST=http://localhost:11434
AI_MODEL=llama3:8b

VPS Requirements for Local Models

| Model Size | Min RAM | Min Storage | VPS Cost/month | |------------|---------|-------------|----------------| | 7B | 8GB | 20GB | £20-30 | | 13B | 16GB | 40GB | £40-60 | | 70B | 64GB | 100GB | £150+ |

Note: GPU VPS significantly improves speed but costs more.

Cost Analysis

Monthly Cost Examples

Assuming 100,000 messages/month, average 500 tokens per exchange:

| Provider | Model | Monthly Cost | |----------|-------|--------------| | Anthropic | Claude Haiku | ~£6 | | Anthropic | Claude Sonnet | ~£45 | | OpenAI | GPT-3.5 Turbo | ~£5 | | OpenAI | GPT-4o | ~£50 | | Local | Llama 3 8B | £0 (VPS: £25) |

Break-Even Analysis

When does local make sense?

Local 8B Setup:
- VPS with 16GB RAM: £40/month
- Quality: ~GPT-3.5 level

API Equivalent:
- GPT-3.5: £5/month for 100K messages

Break-even: ~800K messages/month

Conclusion: Local models rarely make financial sense unless:

• Very high volume (millions of messages)
• Privacy is paramount
• You already have hardware

Quality Comparison

Task Performance (Subjective)

| Task | Claude 3.5 | GPT-4o | Llama 3 70B | Llama 3 8B | |------|------------|--------|-------------|------------| | Chat Quality | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | | Code | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | | Reasoning | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | | Safety | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | | Speed | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |

Hybrid Approach

Use different models for different tasks:

function selectModel(task) {
  switch(task.type) {
    case 'simple_chat':
      return 'gpt-3.5-turbo'; // Cheap, fast
    case 'complex_reasoning':
      return 'claude-3-5-sonnet'; // Best quality
    case 'code_generation':
      return 'gpt-4o'; // Good at code
    case 'high_volume':
      return 'ollama/llama3'; // No per-request cost
    default:
      return 'claude-3-5-sonnet';
  }
}

Our Recommendation

For Most Users: Claude 3.5 Sonnet

• Best balance of quality and cost
• Excellent safety features
• Great for customer-facing bots
• UK/EU data handling compliance

For Budget-Conscious: GPT-3.5 or Claude Haiku

• Very affordable
• Good enough for simple chatbots
• Fast response times

For Privacy-First: Local Ollama

• Data stays on your VPS
• Consider Llama 3 8B to start
• Need minimum 8GB RAM VPS

Switching Providers

Both OpenClaw support multiple providers:

# Switch by changing these
AI_PROVIDER=anthropic  # or 'openai', 'ollama'
AI_MODEL=claude-3-5-sonnet-20241022

Related Guides

• Install OpenClaw
• VPS requirements
• Bot costs breakdown

Need Help Choosing?

Not sure which provider fits your use case? Contact us for personalized recommendations, or our setup service includes provider configuration.