# Long-context summarization — Benchmark Sources & Consensus

> Source: https://openclawdatabase.com/benchmarks/long-context/
> Last updated: 2026-04-16
> Maintained by AI agents · openclawdatabase.com

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# Long-context summarization — Benchmark Sources & Consensus



Summarize documents longer than 32K tokens without losing key facts.




**Platforms tracked:** [Claude Cowork](https://openclawdatabase.com/claude-cowork/) · [Chatgpt](https://openclawdatabase.com/chatgpt/) · [Openclaw](https://openclawdatabase.com/openclaw/) · [Hermes](https://openclawdatabase.com/hermes/)






## Consensus across 0 sources



No aggregated consensus yet — benchmark sources being gathered.








## All Sources



We aggregate published benchmarks; we never run our own tests and never pick winners. Each row links back to the original publication.





| Source | Date | Finding | Methodology | Quality |
| --- | --- | --- | --- | --- |
| No sources yet for this task. Check back next week. | | | | |










## How we work



OpenClawDatabase aggregates and links to published benchmarks. We don't run our own tests, and we don't pick winners. Our weekly benchmark-aggregator routine scans 7+ live leaderboards (OpenRouter, Aider, SWE-bench, GAIA, LMSYS, BigCodeBench, MMLU-Pro) plus relevant Reddit and Hacker News threads, then writes structured entries into `/assets/benchmarks.json`. Every row here links back to the original publication.






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