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Are any LLM APIs particularly effective for bulk usage?

Generation Details

Date LLM Access Method
Nov 2024 GPT-4 Web UI

Based on the information provided in the search results and your question about cost-effective LLM APIs for bulk prompting, here are some insights:

  1. Mistral AI's Mixtral 8x7B model:
  2. Offered via Anyscale
  3. Priced at $0.0005 per 1K tokens for both input and output
  4. This is significantly cheaper than many other options, especially for bulk usage
  5. DeepSeekV2:
  6. Mentioned as a potential replacement for GPT-3.5 Turbo
  7. Could save up to 75% compared to GPT-3.5 Turbo
  8. Llama 3:
  9. Noted to be one step below top models in quality
  10. Could save up to 90% compared to top-tier models like GPT-4o, Gemini 1.5 Pro, or Claude 3.5 Sonnet
  11. AwanLLM:
  12. Offers a free tier with 10 requests per minute
  13. Access to all 8B models
  14. Plans to implement a low-cost monthly subscription model rather than per-token pricing
  15. Open-source models:
  16. Generally more cost-effective when self-hosted
  17. Llama3-8b is mentioned as an example, with costs primarily related to infrastructure rather than per-token pricing

For bulk prompting, the Mixtral 8x7B model from Mistral AI (via Anyscale) appears to be particularly cost-effective at $0.0005 per 1K tokens. This flat rate for both input and output makes it attractive for high-volume usage.

However, the most cost-effective option may depend on your specific use case, volume of requests, and whether you're willing to manage your own infrastructure. For very high volumes, self-hosting an open-source model like Llama3-8b might be more cost-effective in the long run, despite the initial setup and infrastructure costs.

It's also worth noting that AwanLLM's planned subscription model could be very cost-effective for bulk prompting, depending on how their pricing structure develops.

Remember to consider factors beyond just price, such as model performance, latency, and specific features required for your use case when making a decision.

Extracted Prompts

Prompts/Cost effective API for bulk prompting.md#Prompt 1

The above text was generated by a large language model (LLM) and its accuracy has not been validated. This page is part of 'LLMs-on-LLMs,' a Github repository by Daniel Rosehill which explores how curious humans can use LLMs to better their understanding of LLMs and AI. However, the information should not be regarded as authoritative and given the fast pace of evolution in LLM technology will eventually become deprecated. This footer was added at 16-Nov-2024.