# Best large language model platforms for enterprise-grade document summarization?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi,</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I’m helping a few enterprise data and ops teams deal with massive volumes of documents—contracts, policies, reports—and manual summarization just doesn’t scale. To get a realistic view of what teams are using, I looked at G2 data for the <a class="a a--md" elv="true" href="https://www.g2.com/categories/large-language-models-llms">Large Language Models category </a>to see which LLMs are most commonly trusted for enterprise-grade summarization.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Sharing this here in case it helps anyone tackling similar problems.</p>Top LLM tools (by G2 Score)<ul>
<li>Gemini: Best for teams that want enterprise-ready document summarization with strong contextual understanding.</li>
<li>Meta Llama 3: Best for teams that want open and customizable models for internal document processing.</li>
<li>BERT: Best for teams that want reliable extractive summarization for structured enterprise text.</li>
<li>GPT-4: Best for teams that want high-quality abstractive summaries across long documents.</li>
<li>GPT-3: Best for teams that want scalable summarization for large document sets.</li>
<li>Megatron-LM: Best for teams that want custom-trained large models for internal summarization pipelines.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Anyone using these specifically for document summarization today? I also see retrieval-augmented setups mentioned a lot. Any other tool to include? What’s been your experience?</p>

##### Post Metadata
- Posted at: 3 months ago
- Author title: SaaS and Software Research
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Do you trust LLM summaries as final output—or only as a first pass?&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 months ago
- Author title: SaaS and Software Research





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