I’ve been digging into the latest data on large language models (LLMs), and it’s time to share my findings. Let’s break down how the major players stack up in terms of speed, cost, and overall performance.
Speed Champions:1. LLaMA 3.1 70B (on Cerebras): ~450 tokens/second
2. Gemini 1.5 Flash: ~166 tokens/second
3. Claude 3.5 Haiku: ~128 tokens/second
4. GPT-4o mini: ~103 tokens/second
LLaMA 3.1 70B takes the crown for raw speed, but that’s just one piece of the puzzle.
Cost Considerations:
– GPT-4o mini: $0.15 per 1M input tokens, $0.60 per 1M output tokens
– Claude 3.5 Haiku: $0.25 per 1M input tokens, $1.25 per 1M output tokens
– Gemini 1.5 Flash: $0.08 per 1M input tokens, $0.30 per 1M output tokens
GPT-4o mini remains budget-friendly, but Gemini’s recent price cut makes it a compelling option.
Performance Breakdown:
– Claude 3.5 Sonnet: Excels in language understanding and safety. Top scores on HumanEval and MMLU benchmarks.
– GPT-4o: Multimodal powerhouse. Shines in visual tasks and general language abilities.
– LLaMA 3.1 405B: On par with GPT 4o and Claude 3.5 Sonnet.
– Gemini 1.5 Flash: Strong in multimodal applications and handling large context windows.
Additional Models to Consider:
– Perplexity AI: Known for web search and cost-effectiveness, though specific metrics are limited.
– Deepseek Coder v2: Good choice for coding. Fast and cheap.Choosing the Right Model:- Prioritize perfomance and language precision? Claude 3.5 Sonnet.
– Need multimodal capabilities? GPT-4o or Gemini 1.5 Flash.
– Want raw speed on a budget? LLaMA 3.1 70B.
– Require large context windows? Gemini 1.5 Flash.
The LLM field is incredibly dynamic, with new developments happening constantly. What’s true today might be outdated tomorrow. I’ll keep updating this blog with the latest insights and performance data.
For a deeper dive into staying current with AI advancements, check out my post on <a href=””https://adam.holter.com/staying-informed-my-top-sources-for-ai-news-and-insights/””>top AI news sources</a>.Have you worked with any of these models? Share your experiences in the comments below.
