Best LLM for Summarisation
Condensing long documents, reports, meetings, and articles into clear, accurate summaries.
Get started freeEffective summarisation requires more than shortening text - it demands identifying what is genuinely important, preserving key nuance, and structuring the output for its intended use. For long documents, large context windows are essential: models that truncate input or hallucinate information they did not actually process are actively counterproductive.
What to look for in a Summarisation LLM
- 1Accuracy and completeness of key information
- 2Context window size for long document handling
- 3Structured output formats (bullets, sections)
- 4Reduction ratio without information loss
Top 4 AI Models for Summarisation
Ranked by performance on summarisation tasks
Claude 4 Opus
The flagship model, focused on deep reasoning, large-scale coding and sustained multi-step agentic workflows.
Compare with top pickGPT-5.5
OpenAI's smartest and most capable model yet for agentic coding, knowledge work, and computer use, delivering a new class of intelligence at GPT-5.4 latency.
Compare with top pickGPT-5.4
OpenAI's frontier model for complex professional work with best intelligence at scale for agentic, coding, and professional workflows.
Compare with top pickClaude 4 Sonnet
A balanced-hybrid reasoning model tuned for everyday assistant and high-volume tasks.
Compare with top pickSummarisation Model Comparisons
Head-to-head comparisons filtered for summarisation performance
GPT-5.5 vs GPT-5.4
for Summarisation
GPT-5.5 vs GPT-5.2
for Summarisation
GPT-5.5 vs GPT-5.1
for Summarisation
GPT-5.5 vs GPT-5.3 Codex
for Summarisation
GPT-5.5 vs GPT-5.2 Codex
for Summarisation
GPT-5.5 vs GPT-5.1 Codex
for Summarisation
GPT-5.5 vs Sora 2
for Summarisation
GPT-5.5 vs Sora 2 Pro
for Summarisation
GPT-5.5 vs GPT-5
for Summarisation
GPT-5.5 vs GPT-5 Codex
for Summarisation
GPT-5.5 vs GPT-5 Mini
for Summarisation
GPT-5.5 vs GPT-5 Nano
for Summarisation
GPT-5.5 vs GPT-5 Pro
for Summarisation
GPT-5.5 vs GPT-4.1
for Summarisation
GPT-5.5 vs GPT-4.1 Mini
for Summarisation
GPT-5.5 vs GPT-4.1 Nano
for Summarisation
GPT-5.5 vs GPT-OSS 120B
for Summarisation
GPT-5.5 vs GPT-OSS 20B
for Summarisation
GPT-5.5 vs GPT Image 1.5
for Summarisation
GPT-5.5 vs GPT Image 1
for Summarisation
GPT-5.5 vs GPT Image 1 Mini
for Summarisation
GPT-5.5 vs o4-mini
for Summarisation
GPT-5.5 vs o3
for Summarisation
GPT-5.5 vs o3-mini
for Summarisation
GPT-5.5 vs o1
for Summarisation
GPT-5.5 vs o1-pro
for Summarisation
GPT-5.5 vs GPT-4o
for Summarisation
GPT-5.5 vs GPT-4o mini
for Summarisation
GPT-5.5 vs GPT-4o Audio
for Summarisation
GPT-5.5 vs GPT-4o mini Audio
for Summarisation
GPT-5.5 vs GPT-4 Turbo
for Summarisation
GPT-5.5 vs GPT-3.5 Turbo
for Summarisation
GPT-5.5 vs Gemini 3.1 Pro
for Summarisation
GPT-5.5 vs Nano Banana 2
for Summarisation
GPT-5.5 vs Gemini 3 Pro
for Summarisation
GPT-5.5 vs Nano Banana Pro
for Summarisation
GPT-5.5 vs Gemini 2.5 Pro Experimental
for Summarisation
GPT-5.5 vs Gemini 2.5 Flash
for Summarisation
GPT-5.5 vs Nano Banana
for Summarisation
GPT-5.5 vs Gemini 1.5 Pro
for Summarisation
GPT-5.5 vs Gemini 1.5 Flash
for Summarisation
GPT-5.5 vs Gemini 1.0 Pro
for Summarisation
GPT-5.5 vs Claude 4.7 Opus
for Summarisation
GPT-5.5 vs Claude 4.6 Sonnet
for Summarisation
GPT-5.5 vs Claude 4.5 Sonnet
for Summarisation
GPT-5.5 vs Claude 4.5 Haiku
for Summarisation
GPT-5.5 vs Claude 4.6 Opus
for Summarisation
GPT-5.5 vs Claude 4.5 Opus
for Summarisation
GPT-5.5 vs Claude 4.1 Opus
for Summarisation
GPT-5.5 vs Claude 4 Sonnet
for Summarisation
GPT-5.5 vs Claude 4 Opus
for Summarisation
GPT-5.5 vs Claude 3.5 Sonnet
for Summarisation
GPT-5.5 vs Claude 3.5 Haiku
for Summarisation
GPT-5.5 vs Claude 3 Opus
for Summarisation
GPT-5.5 vs Claude 3 Sonnet
for Summarisation
GPT-5.5 vs Claude 3 Haiku
for Summarisation
GPT-5.5 vs Grok 4
for Summarisation
GPT-5.5 vs Grok 3
for Summarisation
GPT-5.5 vs Grok 3 Mini
for Summarisation
GPT-5.5 vs Qwen3-Max
for Summarisation
Found your model? Now build a summarisation tool that actually works.
Knowing which LLM is best for summarisation is step one. Step two is shipping a tool your team actually uses - not copy-pasting the same prompt into ChatGPT every day.
- Powered by Claude 4 Opus - swap any time
- No coding. Live in minutes.
- Share with your team - one tool, everyone aligned
Frequently asked questions about Summarisation LLMs
Which LLM is best for document summarisation in 2026?
Gemini 2.5 Pro and Claude 4 Opus are the top summarisation LLMs in 2026. Gemini 2.5 Pro handles the longest documents thanks to its 1M token context window, making it ideal for lengthy reports, legal documents, and multi-chapter texts. Claude 4 Opus produces the highest-quality summaries for complex documents where nuance and accuracy matter most.
Can an LLM accurately summarise a 100-page report?
Yes, with a large enough context window. Gemini 2.5 Pro and Claude 4 Opus can ingest a 100-page document (roughly 75,000–100,000 tokens) in a single pass. Shorter-context models require chunking and hierarchical summarisation, which risks losing connections between sections. For the most accurate summaries of long documents, use a model with at least 200K token context.
Which AI model has the largest context window for summarising long documents?
Both Gemini 2.5 Pro and Claude 4 Opus offer 1M token context windows - equivalent to roughly 750,000 words or about 1,500 pages. For standard summarisation tasks up to 50 pages, GPT-5.5 (128K context) and Claude 4 Sonnet (200K context) are also excellent choices with faster processing times.
Is Claude or GPT better for meeting transcript and call summarisation?
Claude 4 Sonnet is the best choice for meeting and call summarisation. It produces natural, easy-to-read summaries that capture key decisions, action items, and tone - while filtering out filler and tangential conversation. GPT-5.4 is also strong and tends to produce more structured summaries with clear action item formatting.
How do I automatically summarise large volumes of documents?
Build a document summarisation pipeline on Appaca: connect your document source (email, cloud storage, CRM), configure your summarisation prompt (length, format, focus areas), and route outputs to your team's preferred channel. For document collections, batch-process with Gemini 2.5 Flash for cost efficiency, reserving premium models for high-priority documents.