Claude 4.5 Haiku vs Claude 3.5 Haiku
Compare Claude 4.5 Haiku and Claude 3.5 Haiku. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | Claude 4.5 Haiku | Claude 3.5 Haiku |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 tokens | 200,000 tokens |
| Input Cost | $1.00/ 1M tokens | $0.80/ 1M tokens |
| Output Cost | $5.00/ 1M tokens | $4.00/ 1M tokens |
Strengths & Best Use Cases
Claude 4.5 Haiku
Anthropic1. Frontier-level coding at small-model speed
- Similar coding performance to Claude Sonnet 4 at one-third the cost.
- Runs 4-5x faster than Sonnet 4.5 for many tasks.
- Ideal for real-time pair programming, prototyping, and rapid iteration.
2. Excellent computer-use abilities
- Surpasses Claude Sonnet 4 in certain computer-control tasks.
- Great for agents requiring low-latency tool use (Chrome automation, coding agents, etc.).
3. Perfect for real-time, low-latency applications
- Chat assistants
- Customer support agents
- Interactive development loops
- Multi-agent orchestration
4. Works seamlessly with Sonnet 4.5 in hybrid agent setups
- Sonnet 4.5 plans complex workflows.
- Haiku 4.5 executes subtasks in parallel for speed and cost-efficiency.
5. High alignment & safest Claude model by metric
- Lower misaligned behavior rates than Haiku 3.5, Sonnet 4.5, and Opus 4.1.
- Limited CBRN risk → released under AI Safety Level 2 (ASL-2).
Claude 3.5 Haiku
Anthropic1. Intelligence & Benchmark Performance
- Matches Claude 3 Opus (previous largest model) on many intelligence tasks.
- Surpasses Claude 3 Opus on multiple evaluations despite being a smaller, faster model.
- Major improvements across every skill category vs previous Haiku.
2. Coding Strength
-
Scores 40.6% on SWE-bench Verified, outperforming:
- Claude 3.5 Sonnet (original version)
- GPT-4o
- Many agent-driven systems
-
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
- Same speed class as Claude 3 Haiku (ultra-fast).
- Ideal for real-time interactions, high request volumes, and UI responsiveness.
4. Tool Use & Instruction Following
- Better at following instructions than previous Haiku.
- Stronger at tool use accuracy, making it reliable for agents and workflows.
5. Best Use Cases
- High-volume, low-latency tasks
- User-facing products
- Sub-agent tasks in larger workflows
- Processing large structured datasets (pricing, inventory, purchase history)
- Rapid content or code generation where speed matters
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for Claude 4.5 Haiku
textReferral Program (Incentives + Mechanics)
Create a referral marketing program that incentivizes your persona to share your USP with peers facing similar challenges.
Support Ticket Detective: Bucket Audience Problems
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Employee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
Best for Claude 3.5 Haiku
textCold Call Objection Handler (3 Script Styles)
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Digital Marketing Plan (Channel + Funnel Blueprint)
Build a comprehensive digital marketing plan that targets a persona, addresses their challenges, and highlights your USP across channels and the funnel.
Brand Messaging Guide (Persona + USP)
Create a brand messaging guide with positioning, value props, proof points, and voice tailored to your persona’s challenges and your USP.
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