Gen-AI
AI/ML
LLM Comparison: GPT-4o, Claude 3.5, and Llama 3
Compare leading LLMs across accuracy, latency, cost, and safety to choose the right model for your use case.
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10 min read
Models Compared
Key Considerations
| Model | Strengths | Best For |
|---|---|---|
| GPT-4o | Strong reasoning, multimodal | General-purpose, multimodal apps |
| Claude 3.5 Sonnet | Helpful, safe, long context | Assistants, analysis, documents |
| Llama 3 70B | Open weights, cost control | On-prem, customization |
- Quality vs. cost trade-offs
- Latency budgets for interactive UX
- Context length and retrieval
- Safety and compliance needs
python
# Pseudo-code: choose a model by use case
use_case = "chat-assistant"
if use_case == "multimodal":
model = "gpt-4o"
elif use_case == "analysis":
model = "claude-3.5-sonnet"
else:
model = "llama-3-70b"
print(f"Selected model: {model}")
LLM Inference Flow
sequenceDiagram
User->>App: Prompt
App->>LLM: Request
LLM-->>App: Response
App-->>User: Answer
Pick the smallest model that meets your quality bar.