How to pick the best LLM in 2025



Stop relying on OpenAI models for everything!

Whether you need speed, quality, or performance, there’s a perfect language model out there for your needs.

But with so many choices, how do you pick the best one?

Here are the 4 key factors to consider:

โ€ข ๐—ค๐˜‚๐—ฎ๐—น๐—ถ๐˜๐˜†: Look for an LLM that performs consistently across tasks like chatbot interactions, language understanding, and coding.
Best options: DeepSeek R1, OpenAI’s o1, OpenAI’s o3 Mini

โ€ข ๐—ฃ๐—ฟ๐—ถ๐—ฐ๐—ฒ: Consider the cost per token for both input and output.
Best options: Gemini 2.0 Flash, GPT-4o Mini, and Mistral Small 3

โ€ข ๐—ฆ๐—ฝ๐—ฒ๐—ฒ๐—ฑ/๐—ง๐—ต๐—ฟ๐—ผ๐˜‚๐—ด๐—ต๐—ฝ๐˜‚๐˜: Generally, smaller models like Mistral Small 3 and GPT-4o Mini are faster than larger, high-quality models.
Best options: Gemini 2.0 Flash, and GPT-4o Mini

โ€ข ๐—ข๐—ฝ๐—ฒ๐—ป ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ: Models that allow for private use
Best options: Llama 3, Microsoft Phi-4, Deepseek’s latest models

โ€ข ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด: Models that excel at code generation
Best options: Claude 3.5 Sonnet, OpenAI’s o3 Mini, Deepseek R1 & V3

In this video, I used the Quality vs. Throughput and Price Diagram from https://artificialanalysis.ai/models

Try it in @weaviate.io: https://weaviate.io/developers/weaviate/search/generative

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