Customer SupportBeginner

Customer Support Chatbot

Handle 80% of tickets automatically, 24/7

Deploy a conversational agent that resolves common support queries — order status, returns, account issues — without human intervention. By routing only edge cases to human agents, you reduce average handle time and support headcount while improving response speed.

RECOMMENDEDGoogle

Gemini 1.5 Flash

INPUT / 1M$0.07
OUTPUT / 1M$0.30
CONTEXT1.0M
SPEED99/100
CODING SCORE
72
REASONING SCORE
76
ESTIMATED MONTHLY COST

for 2,000K tokens/month · 60% input / 40% output

$0.33

WHY THIS MODEL

Gemini 1.5 Flash is purpose-built for high-throughput, low-latency workloads — exactly the profile of a production support chatbot handling millions of daily queries. Its speed and cost efficiency mean you can deploy it at scale without routing economics becoming a barrier.

ALTERNATIVE MODELS

IMPLEMENTATION TIPS

  1. 1

    Keep your system prompt under 500 tokens and use a knowledge base retrieved via RAG rather than stuffing all product info into the prompt — this slashes per-call cost by 40–60%.

  2. 2

    Add a confidence threshold: if the model scores the query below 0.7 certainty, escalate to a human automatically rather than risking a hallucinated answer.

  3. 3

    Cache your static system prompt using provider context-caching APIs to save on input tokens for every conversation turn.

RELATED USE CASES