Compare Claude 4.5 Haiku and LLaMA 3 8B. Find out which model is better for your specific use case and requirements.
| Feature | Claude 4.5 Haiku | LLaMA 3 8B |
|---|---|---|
| Provider | Anthropic | Meta |
| Model Type | text | text |
| Context Window | 200,000 tokens | 8,192 tokens |
| Input Cost | $1.00/ 1M tokens | N/A |
| Output Cost | $5.00/ 1M tokens | N/A |
1. Frontier-level coding at small-model speed
2. Excellent computer-use abilities
3. Perfect for real-time, low-latency applications
4. Works seamlessly with Sonnet 4.5 in hybrid agent setups
5. High alignment & safest Claude model by metric
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.
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Design a social media campaign that engages your persona with informative and entertaining content tied to your USP and their challenges.
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Optimize your credit card strategy with this AI prompt, designed to minimize interest, maximize rewards, and eliminate hidden fees.
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