Compare GPT-4.1 and Claude 3 Haiku. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 | Claude 3 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 200,000 tokens |
| Input Cost | $2.00/ 1M tokens | $0.25/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $1.25/ 1M tokens |
1. Smartest non-reasoning model
2. Excellent instruction following
3. Reliable tool calling
4. Large 1M-token context window
5. Low latency (no reasoning step)
6. Multimodal input
7. Supports fine-tuning
1. Speed
2. Efficiency
3. Practical Use Cases
4. Vision Skills
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Build a lead generation strategy that turns your USP into compelling offers and acquisition channels tailored to persona challenges.
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
Create high-ranking, engaging blog posts with proper SEO structure, keyword optimization, and readability.
Identify top counties/metros for vacant land flips by comparing appreciation, liquidity, and demand signals across target regions.
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