Top 12 LLM Leaderboards to Help You Choose the Right Model
Blog post from Monster API
The article presents the top 12 LLM leaderboards that can help users choose the right AI model for their needs. These leaderboards evaluate models based on various parameters such as reasoning abilities, general knowledge, text embeddings, code generation capabilities, function-calling skills, and more. Some of the notable leaderboards include Open LLM Leaderboard, MTEB Leaderboard, Big Code Models Leaderboard, SEAL Leaderboards, Berkeley Function-Calling Leaderboard, Occiglot Euro LLM Leaderboard, LMSYS Chatbot Arena Leaderboard, Artificial Analysis LLM Performance Leaderboard, Open Medical LLM Leaderboard, Hughes Hallucination Evaluation Model (HHEM) Leaderboard, OpenVLM Leaderboard, and 🤗 LLM-Perf Leaderboard. These leaderboards provide detailed results and specifications for each model on Hugging Face, making it easier for users to select the most suitable AI model for their applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 29 | 3,889 | 441 | 129 | +7% |
| Vector Search | 6 | 3,675 | 269 | 79 | +77% |
| AI Guardrails | 2 | 126 | 55 | 33 | -17% |
| AI Model Fine-tuning | 1 | 628 | 146 | 67 | -32% |
| Serverless | 1 | 647 | 170 | 80 | +31% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.