Model Selection
- Which LLM API is cheapest for basic text generation?
Prices change often, but as of 2025, the cheapest options for basic text generation are typically small models from providers like OpenAI (GPT-4o mini), Google (Gemini Flash), and Anthropic (Claude Haiku). Open-source models via Together AI or Fireworks can be even cheaper. - How do I choose between a cheap and an expensive LLM?
Match the model to the task. Use cheap models for simple, high-volume tasks and expensive models for complex, low-volume tasks. Test both on your data to compare quality and total cost per correct answer. - What is the best way to compare LLM API costs?
Compare total cost per task, not just per-token price. Factor in input/output token ratios, retry rates, and any minimum fees. Build a small benchmark with your own data to measure real-world cost and quality. - Can I switch models to save on API costs?
Yes, switching to a cheaper model can significantly reduce API costs, but you need to test whether it meets your quality and speed requirements. - Is a smaller model always cheaper per token?
No. Smaller models often have lower list prices per token, but total cost depends on how many tokens you need and whether a cheap model forces retries or longer prompts. - How do open-source LLMs compare in cost to proprietary APIs?
Open-source models can be cheaper at high volume if you self-host, but you pay for hardware, setup, and maintenance. Proprietary APIs are often cheaper for low or unpredictable usage because you pay only per token.