Claude 3.5 Haiku vs Claude 3 Opus
Compare Claude 3.5 Haiku and Claude 3 Opus. Find out which model is better for your specific use case and requirements.
Model Comparison
| Feature | Claude 3.5 Haiku | Claude 3 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model Type | text | text |
| Context Window | 200,000 tokens | 200,000 tokens |
| Input Cost | $0.80/ 1M tokens | $15.00/ 1M tokens |
| Output Cost | $4.00/ 1M tokens | $75.00/ 1M tokens |
Strengths & Best Use Cases
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
Claude 3 Opus
Anthropic1. Intelligence & Reasoning
- Highest capability in the Claude 3 family
- Near-human comprehension and fluency
- Excels at MMLU, GPQA, GSM8K, advanced reasoning tasks
2. Complex Problem Solving
- Best for research, strategy, multi-step planning
- Handles ambiguous, open-ended tasks with ease
3. Vision & Multimodal Capabilities
- Strong chart/graph understanding
- Processes documents, technical diagrams, and dense visual data
4. Recall & Long-Context Reasoning
- Near-perfect recall (>99% on NIAH benchmark)
- Handles very large documents and multi-file workflows
5. Enterprise-Grade Accuracy
- Significantly reduced hallucinations
- High correctness rate for factual queries
Try These Prompts
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Best for Claude 3.5 Haiku
textWebsite Marketing Chatbot (Personalized Guidance)
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Customer Success Stories Series (Proof Library)
Create a series of customer success stories that prove your USP and show persona outcomes across common challenges.
Exit Ticket Creator
Generate quick formative assessments that gauge student understanding and inform next-day instruction.
Best for Claude 3 Opus
textMarketing Skills Matrix (Hiring + Training Plan)
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Website Marketing Chatbot (Personalized Guidance)
Design a website chatbot that qualifies visitors, addresses persona challenges, and routes them to USP-focused content and next steps.
Marketing Event Strategy (Workshops + Networking)
Design an event strategy with persona-focused workshops, panels, and networking centered on their challenges and your USP solution.
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