Artificial Analysis

What It Is

Artificial Analysis is a public website that collects data on AI models from companies like Anthropic, Mistral AI, and OpenAI. It records how well each model performs on common tasks, what it costs to use per million tokens (a token is a small piece of text the model works with), and what special abilities it has, such as understanding images or handling very long conversations.

The site is updated whenever a new model is announced or when pricing changes. For example, after Anthropic released Claude Haiku 5.5, which doubled its performance while cutting prices by up to 90%, Artificial Analysis added the new model to its tables and noted the lower cost. When Mistral AI introduced Mistral Large 4—a model with over one trillion parameters and a one-million-token context window—the site recorded its specs and benchmark scores. After OpenAI rolled out GPT-6 with an interactive user interface, the website listed the model’s availability and features.

Why It Matters

The AI field moves quickly, and dozens of new models appear every month. Keeping track of them by reading separate press releases is time‑consuming and confusing. Artificial Analysis puts the most important numbers in one place, so a developer can see at a glance which model is fastest, cheapest, or best at a particular job.

Because the data is collected in a standard way, it is easier to compare models from different companies. A startup that needs a low‑cost coding assistant can check whether Claude Haiku 5.5 still offers the best price‑performance ratio. A team building a cybersecurity tool can look at Mistral Large 4’s security‑focused benchmarks. The website does not recommend one model over another; it simply shows the measured results so users can decide for themselves.

Where It Stands Now

Artificial Analysis has been tracking AI models since at least late 2024, when its first detailed review was shared online. By mid‑2026, it was cited in discussions about major launches such as the Kimi K3 and DeepSeek V4 Pro models. The site continues to add new entries shortly after each big announcement, making it one of the more current public references for AI model comparisons.

The platform is free to browse. Anyone can search for a model, view its performance charts, and see its price per million tokens. Some advanced features, like saving custom comparisons or receiving email alerts for price drops, may require a subscription, but the core comparison data is available to all visitors.

No single company runs Artificial Analysis; it is an independent project that relies on public information from model providers and open benchmarks. Because it does not sell AI models itself, it has no commercial reason to favor one vendor over another, which helps keep its listings trustworthy.

Questions people ask

What kind of AI models does Artificial Analysis cover?

It covers general‑purpose large language models from major providers such as Anthropic, Mistral AI, OpenAI, and DeepSeek. It also lists specialized models for coding, cybersecurity, or image understanding when those models are publicly documented.

How does Artificial Analysis get its pricing and performance numbers?

The site pulls prices directly from the official API pages of each AI provider and records benchmark scores from public evaluations released by the model makers or independent testers. When a provider changes its pricing or releases a new model, the website updates its tables shortly after.

Can I use Artificial Analysis to decide which model to buy?

Yes. You can filter models by task, look at their speed and cost, and compare their benchmark scores side by side. The site does not make buying recommendations; it gives you the data you need to choose the model that fits your budget and requirements.