Build Production Chatbots with the Right LLM and GPU Stack
Find the best models and GPUs for deploying conversational AI chatbots. Compare costs, latency, and quality across providers to build responsive, high-quality chat experiences.
Key Considerations
- ‣For low-latency chat, prefer smaller models (7B-14B) quantized to INT4 on a single GPU.
- ‣Use tool-calling capable models for chatbots that need to access APIs or databases.
- ‣Consider Groq or Fireworks for ultra-low latency inference API access.
- ‣Structured output support is critical for chatbots that return JSON or structured responses.
Recommended Models
| Model | Parameters | Context | VRAM (BF16) | Cheapest $/M Out | Est. Monthly Cost |
|---|---|---|---|---|---|
| DeepSeek R1 Distill 70B DeepSeek | 70.6B | 131K | 141 GB | $0.88 | $88via together |
| Llama 3.1 70B Meta | 70.6B | 131K | 141 GB | $0.79 | $73via groq |
| Llama 3.3 70B Meta | 70.6B | 131K | 141 GB | $0.79 | $73via groq |
| Hermes 3 70B Nous Research | 70.6B | 131K | 141 GB | $0.88 | $88via together |
| HelpSteer2 Llama 3.1 70B NVIDIA | 70.6B | 131K | 141 GB | $0.50 | $50via nvidia-nim |
| Llama 3.1 Nemotron 70B Instruct NVIDIA | 70.6B | 131K | 141 GB | $0.88 | $88via together |
| Nemotron 70B NVIDIA | 70.6B | 131K | 141 GB | $0.88 | $88via nvidia |
| Llama 3.1 70B Turbo Together AI | 70.6B | 131K | 141 GB | $0.88 | $88via together |
| Claude Sonnet 4 Anthropic | 70B | 200K | 140 GB | $15.00 | $1140via anthropic |
| o3-mini OpenAI | 70B | 200K | 140 GB | $4.40 | $341via openai |
| Claude 3 Sonnet Anthropic | 70B | 200K | 140 GB | $15.00 | $1140via anthropic |
| Reka Core Reka AI | 70B | 128K | 140 GB | $15.00 | $1140via reka |
* Monthly cost estimated at 100M tokens/month (30% input, 70% output split) using cheapest available provider.
Recommended GPUs
Cost Estimation
Low Volume
$5/mo
10M tokens via API
Medium Volume
$50/mo
100M tokens via API
High Volume
$250/mo
500M tokens via API
Estimates based on average output token pricing across providers. Use the calculator for precise estimates →
Frequently Asked Questions
What is the best model for a chatbot?
For production chatbots, Llama 3.3 70B and Qwen 2.5 72B offer an excellent balance of quality, cost, and tool-calling support. For budget-conscious deployments, Llama 3.1 8B or Phi-4 provide strong chat quality at a fraction of the cost.
How much does it cost to run a chatbot?
Costs vary widely. Using an inference API, a chatbot handling 100M tokens/month costs $6-90/month depending on the model. Self-hosting on a single A100 costs roughly $1,000-3,000/month but offers unlimited tokens.
What GPU do I need for a chatbot?
A single NVIDIA L40S or RTX 4090 can run 7B-14B parameter models with good latency. For 70B models, you need at least one A100 80GB or H100. Quantization (INT4/FP8) reduces GPU requirements significantly.
Should I use an API or self-host my chatbot?
Use an inference API (Together AI, Fireworks, Groq) for low-volume or variable traffic. Self-host when you need data privacy, customization, or handle more than 500M tokens/month where self-hosting becomes more economical.