Twelve months ago, AI coding tools had meaningfully different pricing strategies. Today they don’t.

Cursor sits at $20/month. GitHub Copilot Individual is $10, Copilot Business $19. Windsurf Pro is $15. Cline with your own API key is effectively priced by consumption, but most serious users land around $20–30/month in API costs. Aider is similar.

The market has converged to a band. And that convergence is creating a problem that most teams aren’t noticing yet.

What you’re actually paying for

At $15–20/month, you’re mostly paying for two things:

Model access. The underlying model — GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro — is the primary driver of quality. The tool’s own logic (autocomplete triggering, context window management, diff presentation) matters, but the gap between tools using the same model is smaller than the gap between models.

Editor integration. How well the tool integrates with your IDE determines whether you actually use it. A great model in a frustrating UI gets disabled within a week.

What you’re not getting that you might think you’re getting: proprietary training on better code corpora, meaningful performance improvements over the base model, or accuracy guarantees on your specific stack.

The team-seat problem

Individual pricing at $20/month looks cheap. At 10 developers, it’s $2,400/year. At 50 developers, it’s $12,000/year — before you factor in the business tier premiums that most companies require for data privacy guarantees.

The tools with strong business tiers (Copilot Business, Cursor Business) charge $19–25/seat with volume licensing that only kicks in at 50+ seats. For companies between 10 and 50 developers, you’re paying individual rates with enterprise compliance requirements and no discount.

The tools that are cheapest at scale are the ones that let you bring your own API key — Aider, Cline, and similar open-source options. Your costs are purely consumption-based, which often means lower total spend for teams with uneven usage patterns.

Nobody is measuring ROI

Here’s the thing almost nobody in this market is doing: measuring whether the tool is actually faster.

The pitch is always productivity gains — “save 2 hours a week,” “10x your output,” numbers pulled from surveys with obvious selection bias. What’s rarely measured is the time spent on prompt iteration, reviewing AI-generated code for correctness, debugging subtle errors introduced by confident-sounding wrong suggestions, and the cognitive overhead of keeping the model’s context accurate.

My rough estimate from watching how several teams use these tools: for experienced developers working in a well-understood codebase, the net gain is real but modest — 15–25% faster on greenfield code, near-zero on legacy code with tight constraints. For developers who are new to a codebase, the gain is higher because the model can answer orientation questions quickly. For developers still learning their craft, the picture is more complicated.

None of this is a reason to avoid the tools. It is a reason to stop buying them based on benchmarks and demos, and start measuring your own team’s actual output delta.

What actually differentiates them now

With pricing converged and models commoditizing, the real differentiators are narrowing:

Codebase indexing quality. How well does the tool maintain context across a large codebase? Cursor’s codebase indexing is meaningfully better than Copilot’s for large repos, in my experience.

Multi-file editing UX. Can you propose a change that spans 10 files and review it coherently before accepting? Cursor’s composer mode handles this reasonably well. Most others don’t.

Agentic capability. Background agents, autonomous task execution, shell access. This is where the tools are most differentiated right now and most likely to improve fastest.

IDE lock-in. Copilot works everywhere because it’s an extension. Cursor is a fork of VS Code. Windsurf is its own editor. Zed has built-in AI without third-party extensions. Your choice here is partly a choice about whether you trust your team to consolidate on one editor.

The decision most teams should make

Stop defaulting to GitHub Copilot because it’s familiar. Copilot was the right default in 2023 when it was the only mature option. It’s not obviously the right choice now.

Run a two-week trial with two or three developers using Cursor or Windsurf instead, on real work, and measure time-to-done on tasks they would have done anyway. Then decide.

The pricing is similar enough that the decision should be made on quality, not cost.