Ranking: Which LLMs are the BEST FOR 2025? (Ranking Every LLM Released in 2024!)

Summary

In this video, the host ranks various LLMs released in 2024, evaluating their strengths and weaknesses. The ranking includes models like Gemini 2.0 Flash, GPT-4, Llama 3.3, and Grock 2, with a focus on features like multimodality, speed, pricing, and licensing. The host offers a critical yet informative assessment of each model, highlighting the best performers, such as Gemini 2.0 Flash and Grock 2, while criticizing underwhelming releases like Gemini 2 and GPT-4. Overall, the video provides valuable insights into the rapidly evolving world of LLMs.

Takeaways

• 😀 Gemini 2.0 Flash is considered the best model of 2024 due to its multimodal capabilities (audio and text), fast performance, and being completely free.
• 😀 Llama 3.3 is praised as the best 70B model, offering great performance and being highly efficient for its size.
• 😀 The 54 model, a powerful 14B model, stands out for its exceptional performance, setting a new standard for mini models.
• 😀 Grock 2 is highly rated for its uncensored nature and free availability on Twitter and through a free API, making it a top-tier choice for open-source enthusiasts.
• 😀 3.5 Sonnet is a reliable and proven model, known for its consistency and overall solid performance.
• 😀 Llama 3.1 remains a great model, especially for its 405B variant, although it was initially released some time ago.
• 😀 Quen 2.5 models are generally solid but have issues with instruction-following and general knowledge, though they excel in specific tasks like mathematics.
• 😀 DeepSeek's R1 Light and v2.5 models provide good value with strong performance, especially with low API pricing and effective reasoning capabilities.
• 😀 Code Straw is a highly regarded coding model, better than Quen 2.5 in terms of reliability, with the added benefit of offering a free tier.
• 😀 The 01 and 01 Mini models are placed in B-tier due to their high cost, lack of transparency, and mixed performance despite being occasionally useful.

Q & A

What is the primary focus of the video?

The video focuses on ranking various language models (LLMs) released during the year, evaluating their performance and features to determine which models are the best and which aren't.

Why does the speaker exclude GPT-03 from the ranking?

The speaker excludes GPT-03 because it hasn’t been released yet and the available information suggests that most of its features appear to be gimmicky. For more details, viewers are directed to a separate Members Only video.

Which LLM does the speaker currently favor and why?

The speaker currently favors Gemini 2.0 Flash, placing it in the S tier. This is due to its multimodal capabilities, speed, and the fact that it is free, making it an ideal choice for the speaker.

What is the speaker's opinion on GPT-40 and GPT-40 Mini models?

The speaker places GPT-40 in the C tier, criticizing its performance despite its multimodal capabilities, particularly because Gemini 2.0 Flash caught up and offered better pricing. GPT-40 Mini also falls into the C tier due to its suboptimal pricing and performance.

How does the speaker rank the Mistral models?

Mistral models, including Mistral Large 2 and the Nemo model, are ranked in the B tier. The speaker acknowledges them as good but notes their licenses are problematic, and newer models have surpassed them in performance.

What is the issue with the 3.5 Haiku model?

The 3.5 Haiku model is criticized for being priced double the cost of 3 Haiku while not offering improvements that justify the cost, especially when compared to better models like Sonet and Gemini 2.0 Flash. It is ranked in the A tier.

What is the significance of the Llama 3.3 model in the ranking?

Llama 3.3, with its 70B model, is praised for its exceptional performance for its size, making it the best 70B model to date. This places it in the S tier.

How does the speaker view the Quen 2.5 lineup?

The Quen 2.5 models are considered good but fall short in instruction following and general knowledge tasks. Despite their strong performance in math and specific tasks, they are still ranked in the A tier.

What are the speaker's thoughts on models from Deep Seek?

The speaker praises Deep Seek's R1 Light and Deep Seek V2.5 models for their good reasoning capabilities and competitive pricing, ranking them in the A tier.

What is the speaker’s opinion on the pricing and performance of the 01 and 01 Mini models?

The 01 and 01 Mini models are criticized for being expensive, with the speaker pointing out issues with their transparency (lack of Chain of Thought) and their pricing structure. These models are ranked in the B tier.