09/20/2024
The benchmarks covered in this infographic show that each model has its strengths and weaknesses.
General: All four models handle these benchmarks effectively, with little difference in their results.
Code: Claude 3.5 Sonnet excels in programming tasks, leading both benchmarks.
Math: While all four models handle the GSM8K benchmark similarly, GPT-4o excels in the MATH benchmark.
Reasoning: All four models handle the ARC benchmark similarity. However, Claude 3.5 Sonnet performs considerably better in the GPQA benchmark, indicating its superior ability to reason on complex tasks.
Tool Use: The results from the tool use benchmarks are mixed. Claude 3.5 Sonnet takes the lead in the BFCL benchmark, whereas LLaMa 3.1 excels in the Nexus benchmark.
Long Context: LLaMa 3.1 performs considerably better in ZeroSCROLLS and InfiniteBench. Likewise, its performance in the NIH benchmark is comparable, making it the ideal model for tasks that require long context handling.
Multilingual: All models perform competitively in this benchmark, with LLaMa 3.1 and Claude 3.5 Sonnet sharing the lead.
Why does this matter? Whether you're automating reports, analyzing data, or processing images, knowing which model suits your needs is crucial for maximizing productivity.
💼 Did you know SkySuite has integrated GPT-4o, Gemini 1.5 Pro, LLaMa 3.1, and Claude 3.5 Sonnet? Learn more https://skysuite.ai/
