Best AI for summarising text
As of 2026-07-18, Anthropic: Claude Opus 4.8 (Fast) is the strongest model for this task in our daily benchmark, where over 350 AI models are evaluated and the best are presented.
A summary is only useful if it stays within the source and within the length you asked for. That is exactly where models diverge: many return a summary twice as long as requested, or add points that are not in the text.
For summaries we rank by how precisely the model follows instructions. Ranked by instruction score, from today’s benchmark.
Today’s ranking
| Model | Provider | Score | Language | Speed | Input price/1M |
|---|---|---|---|---|---|
| Anthropic: Claude Opus 4.8 (Fast) | anthropic | 8.3/10 | 9.3/10 | 131 t/s | $10.00 |
| Anthropic: Claude Haiku 4.5 | anthropic | 8.0/10 | 9.3/10 | 113 t/s | $1.00 |
| Mistral: Mistral Small 3 | mistralai | 7.8/10 | 8.7/10 | 234 t/s | $0.05 |
| Perplexity: Sonar Pro | perplexity | 7.7/10 | 9.0/10 | 68 t/s | $3.00 |
| Cohere: Command R+ (08-2024) | cohere | 7.5/10 | 9.3/10 | 160 t/s | $2.50 |
| Meta: Llama 4 Maverick | meta-llama | 7.2/10 | 8.0/10 | 176 t/s | $0.20 |
| OpenAI: GPT-5.4 Nano | openai | 7.1/10 | 8.0/10 | 157 t/s | $0.20 |
| OpenAI: GPT-5.6 Sol Pro | openai | 6.8/10 | 7.3/10 | 936 t/s | $5.00 |
Ask for a format, not just “a summary”
Say how long it should be, who it is for and what it will be used for: “five bullets for an executive making a decision” produces something entirely different from “summarise this”. It also helps to ask the model to separate what the text actually says from what it is inferring.
Check against the source
The most common failure in AI summaries is not outright fabrication but weighting: a side point gets promoted to the main conclusion. Always read the summary with the source alongside it when it will be used for anything that matters.
Frequently asked questions
Other tasks
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