# Model Categories

## Model Categories

### OpenAI Models
```
openai/gpt-4o              - Latest multimodal
openai/gpt-4-turbo         - Fast GPT-4
openai/gpt-4               - Original GPT-4
openai/gpt-4-32k           - Extended context
openai/gpt-3.5-turbo       - Fast and cheap
openai/gpt-3.5-turbo-16k   - Extended context
```

### Anthropic Models
```
anthropic/claude-3.5-sonnet  - Best balance
anthropic/claude-3-opus      - Highest capability
anthropic/claude-3-sonnet    - Good balance
anthropic/claude-3-haiku     - Fastest Claude
anthropic/claude-2.1         - Legacy
```

### Meta Llama Models
```
meta-llama/llama-3.1-405b-instruct  - Largest
meta-llama/llama-3.1-70b-instruct   - Great balance
meta-llama/llama-3.1-8b-instruct    - Fast/cheap
meta-llama/llama-3-70b-instruct     - Previous gen
```

### Mistral Models
```
mistralai/mistral-large       - Most capable
mistralai/mistral-medium      - Balanced
mistralai/mixtral-8x7b-instruct - MoE model
mistralai/mistral-7b-instruct - Smallest
```

### Google Models
```
google/gemini-pro-1.5      - Latest Gemini
google/gemini-pro          - Standard
google/palm-2-chat-bison   - PaLM 2
```

### Specialized Models
```
# Code-focused
deepseek/deepseek-coder
codellama/codellama-34b-instruct

# Long context
anthropic/claude-3-opus (200K)
openai/gpt-4-turbo (128K)

# Cost-effective
meta-llama/llama-3.1-8b-instruct
mistralai/mistral-7b-instruct
```