Model Selection Guide

Noticia Go offers four AI models. Each has strengths depending on your review task. All models work with structured text files and support relevance review, privilege, objective coding, PII identification, and more.

Available Models

OpenAI GPT 5.0

• Best for: Complex reasoning tasks, multi-step reviews, and combining structured and unstructured data.

• Strengths: Advanced reasoning, adaptability across diverse document types, strong at balancing precision and nuance, and handles very long contexts effectively.

Meta LLaMA 3.3 Instruct (70B)

• Best for: Fast, consistent tagging; clear-cut classification tasks.

• Strengths: Reliable with structured prompts, performs well on binary decisions (e.g., privilege yes/no).

• Limitations: Less context-aware on subtle or ambiguous phrasing.

Anthropic Claude 3.7 Sonnet

• Best for: Long, nuanced documents; contextual judgment calls.

• Strengths: Strong reasoning, context retention, and sensitivity to tone.

• Limitations: Slightly slower; may over-explain or hedge responses.

OpenAI o3 Mini

• Best for: Lightweight tasks; quick scans; high-volume batch runs.

• Strengths: Fast and efficient; works well on simpler extraction or tagging.

• Limitations: Limited context depth; may miss edge cases in complex documents.

Task-Based Recommendations

In short, use LLaMA for precision and speed, Claude for nuance, o3 Mini for scale, and GPT 5.0 when you need advanced reasoning and balance across complex tasks. You can switch models per run to suit the job. While these are not absolute rules/truths, this is a starting point for your understanding and optimal use of these models.