AI Calculator Pro

Codebase Token Calculator

Estimate tokens and cost to feed a whole codebase to an LLM.

Quick answer

With the default inputs, ~409,091 tokens — 200 files · $0.8182 to send once to GPT-4.1. Enter your own numbers below to recompute instantly; the full step-by-step math is shown under the worked example.

Results update automatically as you type.

Result
~409,091 tokens
200 files · $0.8182 to send once to GPT-4.1
Total characters
1,350,000
Estimated tokens
409,091
Input cost (once)
$0.8182

Estimate how many tokens your codebase is and what it costs to send it to a model once. Set the number of files and their size to plan context for code assistants and review agents.

How this is calculated

We estimate total tokens as files × lines per file × characters per line ÷ ~3.3 (code's characters-per-token ratio), then price sending it once at your model's input rate. It's the quick way to see whether a repo could fit a context window and what a single pass costs.

Is this a good result? What to do next

Most real repos exceed even 1M-token windows, so the useful signal is usually 'this won't fit — index and retrieve instead.' If it does fit, weigh the one-pass cost against how often you'd resend it.

Typical planning ranges

1M-token models
fit only small/medium repos
200 files × 150 lines
~400k tokens
Typical line
~14 tokens

Ranges are typical planning figures to sanity-check your result, not authoritative benchmarks. Your numbers will vary with use case, volume, and vendor.

How to improve this number

  • Index the repo and retrieve only relevant files per query.
  • Exclude generated, vendored and test files from the context.
  • Use a large-context model only when whole-repo context is essential.

Common mistakes

  • Assuming a whole codebase fits in one prompt.
  • Counting every file when only a subset is relevant.

When to use a different approach

For a single file or snippet, use the code token counter. To plan the full prompt layout, use the context window planner.

Worked example (defaults)

With the default inputs above, here is the result:

Result
~409,091 tokens
200 files · $0.8182 to send once to GPT-4.1
Total characters
1,350,000
Estimated tokens
409,091
Input cost (once)
$0.8182
  • tokens ≈ 1,350,000 chars / 3.3 (code density)

Sources & references

Frequently asked questions

Can I fit a codebase in one prompt?+

Only small ones. Large repos exceed even 1M-token windows, so most tools index and retrieve relevant files instead of sending everything.

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