Anthropic: Claude 3.5 Haiku
Fastest Reasoning Model
Deploy Speed Intelligence
Ultra-Fast Inference
200K Token Context
Process large inputs with 200K tokens at Haiku speed for real-time apps.
Top Coding Scores
Surpasses Opus Benchmarks
Outperforms Claude 3 Opus on coding and reasoning tasks via Anthropic: Claude 3.5 Haiku API.
Precise Tool Use
Improved Instruction Following
Handle sub-agent tasks and data categorization with accurate tool calls in Anthropic: Claude 3.5 Haiku model.
Examples
See what Anthropic: Claude 3.5 Haiku can create
Copy any prompt below and try it yourself in the playground.
Code Refactor
“Refactor this Python function for efficiency: def calculate_fib(n): if n <= 1: return n; return calculate_fib(n-1) + calculate_fib(n-2). Optimize with memoization and explain changes.”
Data Analysis
“Analyze this sales dataset: [{"product": "Widget A", "sales": 150}, {"product": "Widget B", "sales": 200}]. Summarize trends, predict next quarter, suggest optimizations.”
Tech Summary
“Summarize key features of quantum computing architectures, focusing on error correction and scalability for a developer audience.”
Query Resolver
“Resolve this SQL query for e-commerce inventory: SELECT * FROM products WHERE stock < 10. Add joins for pricing and generate optimized version with indexes.”
For Developers
A few lines of code.
Reasoning API. One Call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Anthropic: Claude 3.5 Haiku on ModelsLab.