About LLMBenchmark.ai
LLMBenchmark.ai is an LLM benchmark leaderboard that tracks 356 AI models across 190 public benchmarks, with API prices, updated daily.
Who is LLMBenchmark.ai?
LLMBenchmark.ai is built for developers and teams who pick a model for real work and need current scores and API prices side by side, each with its source.
LLMBenchmark.ai was launched in October 2026 by Take Group, a Polish software company that runs on AI agents. The team behind it has used large language models in daily work since ChatGPT came out in November 2022.
Who runs LLMBenchmark.ai
How Take Group works with AI
Take Group runs on AI agents. These are the facts behind that sentence, as of October 2026.
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15 people run more than 5,000 websites. Jake Slugocki estimates that without agents the same work would take a team of about 100.
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Every internal tool at Take Group has its own MCP server, so one agent can reach any part of the company and repeat any process or task.
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New models are tried on real agent work, not only on demos. The scores on LLMBenchmark.ai are the first filter.
About Take Group
Take Group is a Polish software company that builds AI tools that scale work, and it runs on its own AI agents. Jake Slugocki and Bartłomiej Krawczyk founded it in Katowice in 2019.
Take Group also ships its own AI products. Cotlet lets AI agents such as Claude Code, Codex or Cursor work in apps that have no API or MCP server.
Where the numbers come from
LLMBenchmark.ai reads every score from the board that published it, across the 18 public sources below. Each number on the site links to its source and shows the day it was read. A value nobody published is marked as missing, never estimated.
| Source | Results read | Last read |
|---|---|---|
| OpenRouter | 356 | |
| Artificial Analysis (via OpenRouter) | 213 | |
| Epoch AI benchmarking hub | 198 | |
| Artificial Analysis | 195 | |
| OpenRouter (provider speed) | 175 | |
| LMArena (Hugging Face dataset) | 169 | |
| Hugging Face | 151 | |
| Design Arena | 141 | |
| Vals AI boards | 132 | |
| ALE-Bench (Sakana AI) | 104 | |
| LMArena WebDev | 101 | |
| MMLU Pro (Vals AI) | 92 | |
| GPQA (Vals AI) | 91 | |
| AIME (Vals AI) | 54 | |
| LiveBench | 43 | |
| SWE-bench (swebench.com) | 38 | |
| Aider polyglot leaderboard | 22 | |
| Vals Index | 20 |
What LLMBenchmark.ai adds
LLMBenchmark.ai computes two numbers of its own. The Vibe Coding Index is a weighted average of four public coding benchmarks. Cost per solved task is the price of one SWE-bench Verified attempt divided by the share of tasks a model resolves.
How often the data changes
The LLMBenchmark.ai dataset is rebuilt from its sources every day. The current data is from October 20, 2026.
Use the data
The LLMBenchmark.ai data is licensed CC BY 4.0: use it, commercially too, and credit LLMBenchmark.ai with a link. Embedded charts and tables keep a visible source link. The full dataset is available as JSON, and agents can query it through a free API and MCP server.
Company
LLMBenchmark.ai is run by TAKE GROUP sp. z o.o., ul. Wincentego Janasa 4, 40-855 Katowice, Poland. KRS 0000871398, NIP (tax ID) 6342984273.