About NeuralRating

Why we exist

Choosing the right AI model has become one of the most consequential decisions a business can make. Yet most teams still pick their model the same way: open a leaderboard, sort by the top score, and commit.

That approach is broken. It ignores the only question that matters:which model is best for your specific task — at a cost that makes sense for your business?

What we do

NeuralRating exists to answer that question with data, not hype. We test leading AI models — OpenAI, DeepSeek, and others — on the tasks businesses actually run every day:

• Coding and software development
• Legal research and document review
• Data entry and extraction
• Customer support and reasoning
• Content generation and editing

For each task, we measure three things and rank models byreal-world effectiveness per dollar — not by a single generic score.

What we measure

• Speed — wall-clock latency per task, from request to complete response. What your team actually experiences.
• Intelligence — task-specific quality. Not "how smart is this model in general," but "how well does it do this task."
• Cost — token-level pricing applied to real prompts, so you know what each task actually costs — not what the marketing page claims.

Who this is for

• Operations teams deciding which model to trust with data entry.
• Legal and compliance teams evaluating models for document analysis.
• Engineering teams picking a model for code generation.
• Founders and product leads who need the right model without overpaying for it.

How we work

All tests run from a single environment with identical prompts and configuration. We use medians (not means) to resist outliers, and we publish our methodology openly so anyone can reproduce our numbers.

Independence

NeuralRating is not affiliated with any AI provider. We don't accept payment for favorable results. If a model performs well, it's because our tests measured it that way — and if it doesn't, we say so.

Where we are today

We're early. This site is a work in progress. What you see today is the foundation — the measurement principles, the methodology, and the commitment to transparency. The detailed task-specific benchmarks and comparison tools are coming next.

Join the waitlist to be notified when they launch, orget in touch with questions, corrections, or partnership inquiries.