Compare Claude 3.5 Haiku and LLaMA 3 8B. Find out which model is better for your specific use case and requirements.
| Feature | Claude 3.5 Haiku | LLaMA 3 8B |
|---|---|---|
| Provider | Anthropic | Meta |
| Model Type | text | text |
| Context Window | 200,000 tokens | 8,192 tokens |
| Input Cost | $0.80/ 1M tokens | N/A |
| Output Cost | $4.00/ 1M tokens | N/A |
1. Intelligence & Benchmark Performance
2. Coding Strength
Scores 40.6% on SWE-bench Verified, outperforming:
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
4. Tool Use & Instruction Following
5. Best Use Cases
LLaMA 3 8B is a highly efficient, small-scale open-source model perfect for simpler tasks and edge devices. It's great for applications like chatbots, text classification, and sentiment analysis where resource constraints are a concern. Its speed and small footprint make it easy to deploy.
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
Generate a polite, professional cold outreach email template to landowners to source off-market deals and prompt a reply.
Transform weak resume responsibilities into strong, results-oriented bullet points.
Create a complete automated welcome email sequence that nurtures new subscribers and drives conversions.
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
Write a polite pre-arrival email to request fee waivers or courtesy upgrades like premium Wi‑Fi and early check-in.
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