GitHub Copilot

At this usage the subscription is priced at roughly what the inference alone is estimated to cost, before any of the editor integration work.

FAIR

The price is mostly buying things that are not the model: evals, data pipelines, integrations, compliance, support, real interface work.

Vendor
GitHub (Microsoft)
Category
Coding
Tier
Pro (individual)
Price / month
$10
Est. API cost
$10.26
Est. markup
0.97×
Price checked
11 Aug 2026
Verification
verified
§1 · Billing

What the price actually is

Individual Pro plan billed monthly; an annual rate is advertised lower. Free, Business and Enterprise tiers are priced separately and are not covered by this entry.

§2 · Assumption

The usage this is priced against

A developer using it most working days: about 4,000 inline completions and 150 chat turns a month. Completions are priced against a small fast model, chat against a mid-tier one.

Someone using it half as much sees double the multiple. The assumption is the argument — if you disagree with it, the number below is not about you. Change it in the calculator.

§3 · Arithmetic

The cost math, in full

Estimated monthly inference cost

6,000,000 input tokens$4.80

Small fast text model at $0.80 / 1M input tokens · 4,000 inline completions, each sending ~1,500 tokens of surrounding file context

240,000 output tokens$0.96

Small fast text model at $4.00 / 1M output tokens

900,000 input tokens$2.70

Mid-tier frontier text model at $3.00 / 1M input tokens · 150 chat turns with repository context attached

120,000 output tokens$1.80

Mid-tier frontier text model at $15.00 / 1M output tokens

Estimated cost$10.26
Price paid (Pro (individual))$10
Estimated markup0.97×

Rates come from a dated rate card of representative published API prices, not from the vendor. Nobody outside these companies knows what they actually pay; volume discounts and in-house serving both push real costs below these figures, which makes every multiple here a floor rather than a ceiling.

§4 · Reasoning

Why this verdict, not the number

The estimated inference cost lands within a few percent of the sticker price, which means essentially none of the $10 is markup on tokens at this volume. Whatever the plan is buying — the editor extensions, the context-gathering that makes completions relevant, the request routing — is not being funded by a margin on the model. Lighter users subsidise heavier ones, which is how a flat fee works, but the flat fee itself is not the interesting number here.

What the price buys besides tokens

  • Integrations
  • Scale & infra
  • Distribution

The hard part is not calling a model, it is deciding what to send it: which files, which symbols, how much of the buffer, fast enough that the suggestion arrives before you have typed past it. That retrieval and latency work is the product. The IDE extensions across VS Code, JetBrains, Neovim and Visual Studio are a long maintenance tail that no individual replicates.

§5 · Leaving

What you lose if you leave

Sub-second inline completion inside your editor, the context selection that makes those completions relevant, and extensions maintained against several IDEs that each break on their own schedule.

The honest cheaper path

Continue.dev or Tabby wired to an API key, or a local model through Ollama for completion-only use. Both are real options and both leave you owning the context-gathering and the latency tuning.

§6 · Your numbers

Recompute it for yourself

Recompute this for your own usage

Your estimated cost
Your markup
Cost per unit of our assumption

Scaling assumes your usage has the same shape as ours, just more or less of it. If your mix is different — far more output than input, say — the estimate drifts. It is an estimate either way.

§7 · Sources

Where every number came from

Price recorded 11 Aug 2026 · entry last reviewed 11 Aug 2026. Think something here is wrong? File a correction — we publish them, including the ones that embarrass us.