What AI Coding Actually Costs in 2026

Every AI coding comparison talks benchmarks. Almost nobody talks about the line that hits your card at the end of the month. Here are the numbers I actually pay attention to, and the routing rules that keep the bill sane.

The headline numbers

• Cursor (Composer 2.5, May 2026): $0.07/task in standard mode — 79.8% on SWE-Bench Multilingual at the same time.
• Claude Code: roughly $4/task on the same class of work. Same benchmark class, ~50× the price.
• Codex: open source, Apache 2.0 — the model bill depends entirely on which provider you point it at.
• Antigravity 2.0: free public preview with generous Gemini 3 Pro rate limits. Real, and preview-stage.

Read that list wrong and you'll conclude "Cursor wins, Claude Code loses." That's the mistake.

The axis everyone forgets: token efficiency

Cost per task is one axis. Tokens consumed per task is the other. Claude Code is ~5.5× more token-efficient than Cursor on identical tasks (Faros.ai, 2026). It costs more per task because it does more per task — and because you'll run fewer tasks when the first one reads your whole codebase and gets it right.

The expensive lane isn't wasteful. It's concentrated.

Squeeze the output: the 65% cut

The cheapest token is the one never generated. The caveman skill for Claude Code (83k stars and climbing) forces terse, no-filler responses — cutting output token use by up to 65% while preserving the information. Same answers, fewer tokens, smaller bill. Install it once; it pays for itself every single day.

The routing rules

1. Bulk → cheap lane. Mechanical sweeps, mass edits, generation at scale: Cursor at $0.07/task or Codex on a cheap provider.
2. Reasoning → expensive lane. Whole-codebase refactors, architecture, the task you can't afford twice: Claude Code, where efficiency means fewer retries.
3. Sensitive or offline → local floor. Ollama on localhost:11434 — no API key, no bill, code never leaves the machine. Codex CLI points at it with one config file.
4. Measure weekly. Spend per project, per lane. You can't route what you don't measure.

The free tier trap

Antigravity's free Gemini 3 Pro preview is genuinely generous — and preview-stage. Rate limits are a lever Google can turn. Use free tiers; never architect around them.

The bottom line: a disciplined stack runs Cursor for the cheap 80%, Claude Code for the expensive 20%, caveman everywhere, Ollama as the floor — and costs a fraction of doing everything in the premium lane.

FAQ

Which AI coding tool is cheapest?

Cursor at about $0.07 per task (Composer 2.5, standard mode) versus roughly $4 per task for Claude Code on the same class of work. Antigravity 2.0 is free during its public preview, and Ollama is free forever for fully local models.

Is Claude Code too expensive to use daily?

No — it's ~5.5× more token-efficient than Cursor on identical tasks, so you run fewer, better tasks. Route the bulk work to the cheap lane and reserve Claude Code for reasoning-heavy work.

How do I cut my AI coding token bill?

Cut output tokens: the caveman skill trims up to 65% of output tokens with no information loss. Then route mechanical work to cheaper tools and measure spend weekly per project.

Can I do AI coding with zero API cost?

Yes — run Ollama locally and point Codex CLI at it with one config file. No API key, no bill, and your code never leaves your machine.

Sources: Cursor Composer 2.5, Faros.ai best AI coding agents 2026, openai/codex, Google Antigravity transition.