Scales efficient language processing with open-source accessibility.
WhatLLM.org
Compare and benchmark 100+ large language models by price, performance, speed, and context window in one place.

About WhatLLM.org
WhatLLM.org is an AI-driven platform that compares and benchmarks over 100 large language models using a standardized Artificial Analysis Intelligence Index. The platform ranks models by price, performance, speed, context window, and a Quality Index, with data updated daily. It aggregates live pricing, throughput (tokens per second), and provider endpoints, enabling side-by-side comparisons. Developers, product teams, and businesses use WhatLLM.org to quickly identify the best model for specific tasks such as coding, reasoning, or long-context applications. The tool helps optimize cost, latency, and capability without requiring manual research. By applying objective, AI-powered metrics and real-time data, WhatLLM.org streamlines model selection, making it faster, more transparent, and easier to operationalize for practical use cases.
Key features
- Standardized benchmarking with an Artificial Analysis Intelligence Index
- Daily updated rankings by price, performance, speed, and context window
- Aggregates live pricing, throughput (tokens/sec), and provider endpoints
- Side-by-side model comparisons
- Quality Index for evaluating model performance
- Task-specific recommendations (e.g., coding, reasoning, long-context work)
- Optimization for cost, latency, and capability
- Objective, AI-powered metrics for transparency
Use cases
- Selecting the best LLM for a specific development or business use case
- Comparing model costs and performance to optimize budget and efficiency
- Evaluating models for long-context applications or high-throughput tasks
Pros
- Provides independent, source-backed comparisons of over 180 LLMs using a standardized Artificial Analysis Intelligence Index
- Aggregates live pricing, throughput (tokens per second), and provider endpoints for real-time accuracy
- Offers multiple decision lenses (e.g., best value, fastest, most capable) to tailor model selection to specific needs
- Includes detailed use-case rankings for coding, agents, local models, and long-context applications
- Displays input, output, and blended pricing to clarify cost tradeoffs for production workloads
Cons
- Quality Index is a composite score and may not fully reflect task-specific performance requirements
- Rankings depend on live data, which can change frequently and may require regular re-evaluation
- Open-source model rankings may not account for all deployment constraints or hardware limitations
Frequently asked questions about WhatLLM.org
What does WhatLLM.org do?
WhatLLM.org compares and benchmarks large language models by quality, price, speed, and context window using live, source-backed data. It helps users select the best model for specific tasks by providing objective rankings and decision tools.
Who is WhatLLM.org for?
The platform is designed for developers, product teams, and businesses who need to choose LLMs based on performance, cost, and practical constraints. It is particularly useful for those optimizing for production workloads or real-time applications.
How does the pricing model work?
WhatLLM.org displays input, output, and blended pricing for each model and provider, showing the cost per million tokens. Users can compare total request costs by considering both prompt size and response length.
Does WhatLLM.org support integrations with other tools?
The platform aggregates provider endpoints and live data but does not provide direct integrations. Users can export rankings and data to inform their own tooling or workflows.
How often are the rankings updated?
The rankings and data are updated daily to reflect the latest model performance, pricing, and availability across providers.
How do I get started with WhatLLM.org?
Users can explore rankings, compare models side-by-side, or filter by use case (e.g., coding, agents) to find the best model for their needs. The platform provides clear explanations for each ranking to justify model choices.
WhatLLM.org traffic & engagement
whatllm.org · third-party estimates from Similarweb
Traffic trend
Last 4 months · grows by one month every month
- Jun 2026110K
- Jul 2026118K+8.1%
- Aug 202696K−18.6%
- Sep 2026127K+31.9%
Where visitors come from
Share of visits by channel
No measurable traffic from Paid Referrals or Mail.
Top countries
Share of visits · estimated visits
Other countries: 66.3%
Visits sent by AI assistants
How people reach this site from other AI tools
56 a month
Compared with similar tools
Coding & Development · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.