Core Concepts
The article provides a detailed comparison of the latest top AI language models, including their multimodal capabilities, context length, benchmark performance, and pricing, to help users make informed decisions.
Abstract
The article compares the latest top AI language models, including LLama 3, Claude 3, GPT4 Omni, and Gemini 1.5 Pro-Light, across various dimensions:
Multimodality:
- All models except LLama 3 have image processing capabilities, while Gemini 1.5 and GPT4 Omni can also process audio and video.
- GPT4 Omni is the only model with full multimodal capabilities, though not yet available through the API.
Context Length:
- Gemini 1.5 has the largest context window of 2M tokens, followed by Claude 3 with 1M tokens.
- LLama 3 has a smaller context window of 8K tokens but is optimized for efficient use of the available context.
Benchmarks:
- The models perform similarly on text-based benchmarks, with GPT4 Omni and Gemini 1.5 Flash standing out for their fast response times despite their added capabilities.
- The models also show comparable performance on vision-based tasks.
Pricing:
- GPT4 Omni is the most expensive model, while LLama 3, Claude 3 Haiku, and Gemini 1.5 Flash offer the best performance-to-cost ratio for intermediate and simple tasks.
The article provides a comprehensive overview to help users understand the trade-offs and select the most suitable model for their needs.
Stats
Gemini 1.5 has a context window of 2M tokens.
Claude 3 has a context window of 1M tokens.
LLama 3 has a context window of 8K tokens.
GPT4 Omni is the most expensive model among the ones compared.
LLama 3, Claude 3 Haiku, and Gemini 1.5 Flash offer the best performance-to-cost ratio.
Quotes
"Gemini 1.5 both versions and GPT 4 Omni stand out for being able to process audio and video(sort of, snapshots of it)."
"And right now only GPT 4 Omni has all in and out of these modalities, although they are not available in their api today with promise later this year."
"LLama 3 of course is also very impressive considering its size compared to others and its very on par scores."