LiveBench Paraphrase: leaderboard

The model is given a recent article from The Guardian and asked to paraphrase it while obeying randomly drawn constraints such as a word limit or elements it must include. It is a single-turn task with the article supplied in context, and scoring is an automatic check of whether the constraints were met rather than a judgement of writing quality. Higher is better.

Metric: Score. Source: livebench.ai. Saturation forecast: Not forecast. 71 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.8 Flash (High)80#21 (Gemini 3.8 Flash)
2Gemini 3.1 Pro (Preview) (High)79.87#58 (Gemini 3.1 Pro (Preview))
3Qwen3.8-Flash-Next79.47#72
4Muse Spark 1.3 (xHigh)78.62#24 (Muse Spark 1.3)
5GPT-6 Astra (Max)78.25#6 (GPT-6 Astra)
6Gemini 3.7 Flash (High)78.07#23 (Gemini 3.7 Flash)
7Grok 4.7 (xHigh)78.05#25 (Grok 4.7)
8Claude Fable 5 (Max)77.65#16 (Claude Fable 5)
9Nemotron 3 Ultra77.38#235
10Gemini 3.5 Flash (High)75.52#60 (Gemini 3.5 Flash)
11Qwen 3.8 27B74.9#105
12Kimi K374.37#30
13Gemini 3.6 Flash (High)74.32#51 (Gemini 3.6 Flash)
14Muse Spark 1.2 (xHigh)74.3#62 (Muse Spark 1.2)
15Muse Wonder (Max)74.07#15 (Muse Wonder)

No result here: #8 Gemini 4 Argon, #10 Muse Wonder Full.

Interactive version: theaggregate.ai/benchmark?slug=livebench-paraphrase · How It Works · Data refreshed daily, snapshot 2026-10-20.