Claude 4.5 Haiku vs Claude 4.6 Opus
Compare Claude 4.5 Haiku and Claude 4.6 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | Claude 4.5 Haiku | Claude 4.6 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 tokens | 1,000,000 tokens |
| Input Cost | $1.00/ 1M tokens | $5.00/ 1M tokens |
| Output Cost | $5.00/ 1M tokens | $25.00/ 1M tokens |
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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 4.6 Opus
Anthropic1. Anthropic's top model for coding and agents
- Anthropic positions Opus 4.6 as its most intelligent model for building agents and coding.
- It builds on Opus 4.5 with higher reliability and precision for professional software engineering, complex agentic workflows, and high-stakes enterprise tasks.
2. Strong frontier performance on real agent benchmarks
- Anthropic reports state-of-the-art results across coding and agentic evaluations.
- Public benchmark highlights include 65.4% on Terminal-Bench 2.0, 72.7% on OSWorld, and 90.2% on BigLaw Bench.
3. Best fit for long-horizon, high-context work
- Supports up to a 1M token context window in beta and up to 128K output tokens.
- Designed for long-running tasks that need sustained planning, careful debugging, code review, and strong context retention.
4. Advanced reasoning controls and workflow support
- Supports adaptive thinking and the
effortparameter, including the newmaxeffort level. - Anthropic also introduced fast mode, compaction, and dynamic filtering with web search and web fetch for Opus 4.6-era agent workflows.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for Claude 4.5 Haiku
textCustomer Success Stories Series (Proof Library)
Create a series of customer success stories that prove your USP and show persona outcomes across common challenges.
Avatar Deep Dive: Persona Simulation for Pain Points
Simulate your ideal customer’s day to uncover hidden frustrations and turn them into a prioritized pain-point list for your content calendar.
Email Subject Line Generator
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
Best for Claude 4.6 Opus
textReview Miner: Extract Recurring Pain Points
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.
Sales Objection Flipper: Reveal Hidden Pain Points
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.
Get Comprehensive Operational Audits
Conduct comprehensive operational audits with this AI prompt, delivering C-suite grade strategies for measurable ROI within 90 days.