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#cost-efficient

Every item tagged cost-efficient, newest first.

3 items

modelsOct 25

Gemini 2.5 Flash-Lite is now ready for scaled production use

Gemini 2.5 Flash-Lite has moved from preview to general availability, offering a cost-efficient, high-quality model with a 1 million-token context window and multimodal capabilities. This makes it suitable for scaled production use. You can now deploy it for applications requiring efficient processing of long texts and multimodal inputs. The model's small size and feature set position it for cost-sensitive applications.

Key takeaways
  • Gemini 2.5 Flash-Lite is now generally available.
  • Offers a 1 million-token context window.
  • Suitable for cost-sensitive, scaled production applications.
modelsSep 12

OpenAI o1-mini

OpenAI released o1-mini, a distilled version of their GPT-4o model, aimed at cost-efficient reasoning. The o1-mini model is 10 times cheaper and 60% as capable as GPT-4o on a subset of tasks. Builders can use o1-mini for applications where full GPT-4o capabilities are not required, reducing costs. The release reflects OpenAI's focus on making AI more accessible and affordable.

Key takeaways
  • o1-mini is 10 times cheaper than GPT-4o
  • o1-mini is 60% as capable as GPT-4o on select tasks
  • Aimed at cost-efficient reasoning applications
modelsJul 18

GPT-4o mini: advancing cost-efficient intelligence

OpenAI released GPT-4o mini, a cost-efficient model that offers 82% of GPT-4o's performance on MMLU at 60% of its cost. The new model targets developers building high-volume applications. GPT-4o mini is priced at $0.15 per million input tokens and $0.60 per million output tokens.

Key takeaways
  • GPT-4o mini costs 60% of GPT-4o's price.
  • GPT-4o mini achieves 82% of GPT-4o's MMLU performance.
  • Priced at $0.15 per million input tokens and $0.60 per million output tokens.