Compare o3-mini and Claude 4.5 Haiku. Find out which model is better for your specific use case and requirements.
| Feature | o3-mini | Claude 4.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 tokens | 200,000 tokens |
| Input Cost | $1.10/ 1M tokens | $1.00/ 1M tokens |
| Output Cost | $4.40/ 1M tokens | $5.00/ 1M tokens |
1. High-intelligence small reasoning model
2. Excellent for developer workflows
3. Strong text reasoning capabilities
4. 200K context window
5. High 100K-token output limit
6. Pure text-focused model
7. Broad API compatibility
8. Cost-efficient for production at scale
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.
Write multiple CTR-focused meta title/description variants aligned to intent and differentiators.
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Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.
Identify pain points your competitors likely ignore and explain why addressing them builds trust and differentiation.
Create effective sales call scripts with discovery questions, objection handling, and closing techniques.
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