Compare o3 and Claude 4.5 Haiku. Find out which model is better for your specific use case and requirements.
| Feature | o3 | Claude 4.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 tokens | 200,000 tokens |
| Input Cost | $2.00/ 1M tokens | $1.00/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $5.00/ 1M tokens |
1. Advanced reasoning capability
2. Strong performance across domains
3. Visual reasoning support
4. High output capacity
5. Excellent instruction following
6. Large 200K context window
7. Broad API support
8. Positioned as a legacy reasoning model
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
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Design detailed, standards-aligned lesson plans with engaging activities, assessments, and differentiated instruction strategies.
Design a marketing technology stack that supports executing and measuring persona-targeted campaigns centered on your USP and challenges.
Develop a marketing automation workflow that delivers relevant content by persona challenge while reinforcing your USP throughout the journey.
Generate personalized cold emails that get responses using proven frameworks and personalization techniques.
Analyze competitors and identify differentiation opportunities that strengthen your USP for your persona’s challenges.
Design a marketing performance dashboard that tracks persona engagement, USP resonance, and the impact on solving key challenges.
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