BrowseComp Agent Swarm
BrowseComp evaluated with agent swarm mode - multiple coordinated sub-agents performing web browsing tasks.
Category
General Agents
Score type
percent
Scale
100%
higher is better
Models tested
1
What is BrowseComp Agent Swarm?
BrowseComp (Browsing Competence) is an OpenAI benchmark for deep web research. Each task is a question whose answer is deliberately hard to find — the model has to navigate many web pages, follow leads and cross-check sources. A correct final answer is the only thing that counts.
What does it test?
BrowseComp Agent Swarm measures how well a model acts as a general-purpose agent. In detail, it checks:
- searching the web step by step instead of guessing
- reading and understanding many pages per task
- combining information from several sources
- persistence on questions that are nearly impossible without browsing
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Frequently asked questions
What is the BrowseComp Agent Swarm benchmark?
BrowseComp (Browsing Competence) is an OpenAI benchmark for deep web research. Each task is a question whose answer is deliberately hard to find — the model has to navigate many web pages, follow leads and cross-check sources. A correct final answer is the only thing that counts.
What does BrowseComp Agent Swarm test?
BrowseComp Agent Swarm mainly measures how well a model acts as a general-purpose agent. Concretely, it checks: searching the web step by step instead of guessing; reading and understanding many pages per task; combining information from several sources.
How is the BrowseComp Agent Swarm score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get BrowseComp Agent Swarm data and scores?
The official source is https://huggingface.co/moonshotai/Kimi-K2.6. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/browsecomp-agent-swarm/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints