Compare Claude 4.5 Haiku and Qwen3-Plus. Find out which model is better for your specific use case and requirements.
| Feature | Claude 4.5 Haiku | Qwen3-Plus |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | text |
| Context Window | 200,000 tokens | 1,000,000 tokens |
| Input Cost | $1.00/ 1M tokens | $0.12/ 1M tokens |
| Output Cost | $5.00/ 1M tokens | $0.29/ 1M tokens |
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
1. Major upgrade over previous Plus models
2. Supports thinking vs non-thinking modes
3. Improved human preference alignment
4. Excellent for agent-style apps
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Create a loyalty program that rewards continued engagement and advocacy, reinforcing how your USP supports ongoing persona challenges.
Create an email nurture campaign that guides your persona through the buyer journey while highlighting your USP and solving key challenges.
Design a lead scoring model that prioritizes prospects based on engagement with USP messaging and signals of persona challenge severity.
Write a 3-email re-engagement sequence to revive cold buyer/seller leads using a check-in, a value add market update, and a break-up email.
Generate three distinct objection-handling scripts for real estate cold calls: empathetic, data-driven, and direct—plus follow-up questions and next steps.
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