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The Aggregate

Ranks large language models from many benchmarks into one daily leaderboard, with task-level analysis and custom saved rankings.

At a glanceswept 2026-10-12

≈ 1visits/mo

Little sign of use · estimate, read 2026-10-12

  • The Aggregate1
  • #1 NVIDIA12.6M
  • LLM operations median24
For
People choosing which large language model to use for a particular task
Price
Price not read
Activity
Activity not read yet
Company
Domain since 2026domain registered
What people do with it
  • compare language model rankings across benchmarks
  • explore which models suit a specific task
  • save custom model rankings to a personal workspace
The companyeach fact with its source · read 2026-10-14
  • Domain since2026domain registered
How a program reaches itfound, not claimed · read 2026-10-13
  • MCP serverai.theaggregate/the-aggregateverified in the MCP registry
  • Stateanswers, 8 toolschecked 2026-10-13
  • Address to connecttheaggregate.ai/mcp

MCP server details →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in LLM operationsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

All LLM operations tools →

Questions this page answers
  • What is The Aggregate?

    Ranks large language models from many benchmarks into one daily leaderboard, with task-level analysis and custom saved rankings. It is listed in the Atlas under LLM operations.

  • Who is The Aggregate for?

    People choosing which large language model to use for a particular task

  • Do people use The Aggregate?

    Little sign of use: ≈ 1 visits/mo · estimate, 2026-10.

  • What are alternatives to The Aggregate?

    In LLM operations, by use: OpenRouter, WhatLLM.org, Ollama LLM Throughput Benchmark, AiverseWorld, AI Stats, gpu.fund.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.