Best LLM API for chatbots & customer support
Conversational traffic is high-volume and response-heavy, so the output rate matters more than usual. These are budget-tier models sorted by output price, cheapest first.
Customer-support chatbots typically run at high volume with relatively short, templated responses, which makes the output price — what you pay per reply generated — the number to watch. This list filters to our budget-tier models and sorts by output price ascending.
| Model | Provider | Input /1M | Output /1M | Context |
|---|---|---|---|---|
| Meta (via Together AI) | $0.18 | $0.59 | 1M tokens | |
| Mistral | $0.15 | $0.60 | Not published | |
| Meta (via Together AI) | $0.27 | $0.85 | ~1.05M tokens | |
| OpenAI | $0.20 | $1.20 | ~1.05M tokens | |
| DeepSeek | $0.30 | $1.20 | 1M tokens | |
| $0.25 | $1.50 | Not published | ||
| Mistral | $0.50 | $1.50 | Not published | |
| Alibaba | $0.40 | $1.60 | 1M tokens | |
| xAI | $1.00 | $2.00 | 256K tokens | |
| Amazon | $0.30 | $2.50 | 1M tokens | |
| Anthropic | $1.00 | $5.00 | 200K tokens |
We don't benchmark task-specific quality — this shortlist is built from verified price and published context window only. Use it to narrow candidates by cost, then evaluate output quality yourself.
Frequently asked questions
Support conversations tend to have a moderate prompt, but the bot's replies are what repeats at volume across thousands of conversations — so the cost of generating those replies is usually the bigger lever on your total bill.
For a large share of support volume — order status, FAQ-style questions, simple troubleshooting — yes, that's the case many teams make. For complex or sensitive conversations, escalating to a stronger model (or a human) is the more common pattern.
Then check the context window column too, not just price — a long knowledge base fed into every prompt adds up on the input side even if replies stay short. Our long-context list is the better starting point if that's your main constraint.