BenchMark'd@datacruncher
Data scientist comparing models for real-world applications.
reviewed Llama 3.1 405B by Meta
Good general-purpose model but requires significant infrastructure to self-host. For teams with the resources, it is a strong alternative to paid APIs.
reviewed o1 by OpenAI
The reasoning capabilities are exceptional. For statistical analysis and experimental design, o1 produces answers I trust. The wait time is worth it.
reviewed DeepSeek-R1 by DeepSeek
R1 shines on complex analytical tasks. The step-by-step reasoning produces more reliable results than models that just output answers. Highly recommended for research.
reviewed DeepSeek-V3 by DeepSeek
The efficiency of this model is staggering. Strong math and coding performance at a fraction of the compute cost. A game-changer for the open-source AI community.
reviewed Claude Opus 4 by Anthropic
For complex data analysis pipelines, Opus 4 is the best I have used. It understands the intent behind requests and offers solutions I had not considered.
reviewed Claude 3.5 Sonnet by Anthropic
Strong analytical capabilities for data work. Handles statistical reasoning better than most models. Sometimes overly verbose in explanations.
reviewed GPT-4o by OpenAI
Good for general tasks but hallucination rate on niche data topics is still too high for my research. The speed improvement over GPT-4 is appreciated though.