Best LLM for document summarization
Long documents in, concise summary out.
Why this ranking is opinionated
Summarization workloads are dominated by INPUT token cost (long docs). A big context window is mandatory; cheap input pricing wins. Output volume is small.
Top 5 recommendations
ranked by monthly cost at this workload- · Cheapest qualifying option at this workload (~$0.00/mo).
- · ~$0.00/mo (+0% over the cheapest option).
- · ~$0.00/mo (+0% over the cheapest option).
- · 1,048,576 tokens of context — far above this use case's 100,000-token minimum.
- · ~$0.00/mo (+0% over the cheapest option).
- · ~$0.00/mo (+0% over the cheapest option).
Frequently asked questions
What makes a good LLM for document summarization?
Summarization workloads are dominated by INPUT token cost (long docs). A big context window is mandatory; cheap input pricing wins. Output volume is small.
What capabilities matter most for document summarization?
For document summarization the typical filters are: no specific capability requirement, and a context window of at least 100k tokens. The ranking on this page weights monthly cost (at the workload defaults shown above) most heavily, then capability fit.
What is currently the cheapest LLM for document summarization?
At the typical workload defaults, Trinity Large Thinking (free) from Arcee AI ranks cheapest right now (~$0 / month). Plug your own monthly token volumes into the calculator on this page for a workload-specific number.
Is the cheapest LLM always the right choice for document summarization?
Not always. Cheap models often trade off reasoning quality, tool reliability, or context size. Use the cheapest as a baseline and benchmark against a tier-up model on your own evaluation set before committing to a contract — quality differences compound over millions of tokens.