intermediate7 min read

Which LLM Should You Use?

ChatGPT, Gemini, and Claude are all strong general-purpose models — the right choice depends on your specific use case.

Matching use cases to strengths

Use case	Strong fit	Why
Agentic coding & long codebases	Claude	Strong coding performance, long context, dedicated agentic coding tools
Long document analysis	Claude or Gemini	Both offer very large context windows for whole-document reasoning
Google Workspace-embedded work	Gemini	Native integration inside Docs, Sheets, and Gmail
Broad ecosystem & plugins/GPTs	ChatGPT	Largest ecosystem of Custom GPTs and third-party integrations
Multimodal input (image + audio + video)	Gemini	Natively trained across modalities from the ground up
Safety-sensitive or compliance-heavy work	Claude	Constitutional AI approach with a strong safety emphasis

Tip

In practice, many teams use more than one model — picking per task rather than standardizing on a single provider. Re-test this table periodically: model capabilities change fast.

Key takeaways

No single LLM wins every use case — the right choice depends on the task, ecosystem, and priorities (speed, safety, integration).
Claude tends to lead on agentic coding and safety-sensitive work; Gemini on multimodality and Workspace integration; ChatGPT on ecosystem breadth.
Model capabilities evolve quickly — treat any comparison as a snapshot to periodically re-validate, not a permanent ranking.

Check your understanding

0/2 answered

1.What's the best approach to choosing an LLM for a business?

2.LLM capability comparisons stay accurate indefinitely and never need to be re-checked.

Lesson summary

Choosing an LLM is a use-case decision, not a brand decision — match the model's strengths (coding, multimodality, integration, safety) to the task at hand, and expect the landscape to keep shifting.