SenseNova Unified Large Model

Claude Haiku 4.5 is tuned for responsiveness and steady quality, so teams can serve real-time assistants, support bots, and document workflows without heavy latency. It follows instructions cleanly, maintains coherence over long prompts, and handles practical software tasks from code generation to debugging with clear explanations. The model accepts images alongside text for charts, screenshots, and document understanding, then returns grounded answers or structured JSON that downstream systems can trust. It integrates with retrieval to reduce hallucination, streams tokens for interactive UX, and quantizes well for predictable cost. Most deployments route routine queries to Haiku 4.5 for speed and escalate only the hardest problems to a larger Claude tier, which keeps both accuracy and budget in balance.