# Dylan ツ

- **Website:** <https://whatllm.org>
- **Primary alias:** `whatllm.org`

## Description

WhatLLM.org is an independent model-intelligence resource that helps individuals and teams compare large language models and choose options they can justify. Its rankings bring together quality benchmarks, pricing, speed, context windows, and provider information, with source-backed comparisons and dated data snapshots. The site lists 146 ranked models and 475 endpoints across 72 providers, and offers tools to compare multiple models and filter results by practical needs.

Visitors can explore overall quality leaderboards, value and speed shortlists, and focused rankings for coding, agents and tool use, local and open-weight models, and long-context work. Model information includes benchmark scores, blended token prices, throughput, and, where available, input and output pricing. WhatLLM also publishes guides explaining its measures, data sources, and methodology limitations, helping users interpret rankings rather than rely on a single score. Its comparisons support decisions for production workloads, real-time applications, and task-specific projects, while noting that provider pricing and performance can differ for the same model.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Links

- [twitter](https://twitter.com/demian_ai)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idwj7oTnx0/w/1024/h/1024/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791250700380)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idwj7oTnx0/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791250700938)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Regal Blue | #013572 | accent |
| Tamarind | #291611 | dark |
| Old Lace | #fdf5ef | light |

## Fonts

- var(--font-display) — asset _(custom)_
- var(--font-body) — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idwj7oTnx0/w/1500/h/500/idCyJdyfkt.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791250700553)

---

_Source: <https://brandfetch.com/whatllm.org>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._