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Commercial Case / Services / Public Revenue

Price Per Token

A lookup site that compares the per-million-token prices of LLM APIs. It collects input, output, and cache prices and benchmark scores for 300+ models from OpenAI, Anthropic, Google, Mistral, and others, so developers can compare which model is the best value; it also has an MCP service and an email newsletter.

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THE BUSINESS IN NUMBERS

See the trend, not just the rank

1,8002026-10 · Ending MRR / USD
Historical trend, missing values left blank09001.8K2026-03:02026-04:02026-05:02026-06:02026-07:02026-08:1,2002026-09:1,8002026-10:1,8002026-012026-10

Historical monthly records; Oct 2026 may be an incomplete month. MRR does not equal profit. Missing values left blank, negative values shown as recorded.

View period data
PeriodEnding MRR / USD
2026-01Unknown
2026-030
2026-040
2026-050
2026-060
2026-070
2026-081,200
2026-091,800
2026-101,800
01 / PRODUCT & PEOPLE

Who does it serve and what problem does it solve?

It stands on a clean interface where you can compare at a glance on one page, wide model coverage, and real-time price updates, which is more convenient than flipping through each vendor's pricing page, with benchmark scores and a coding-tool leaderboard attached

Target Audience

AI developers choosing an LLM API who need to estimate call costs, and small companies that use large models

02 / BUSINESS MODEL

How does it charge?

Pricing model unknown

Free to look up on the website; paid plans not found (Revenue record shows 2 subscriptions and MRR $1,800, possibly sponsored placements or a data service, speculation)

The above describes historical pricing. Check official website for current prices.

03 / ACQUISITION

Where do users come from?

Traffic estimate 2026-09: the top channel is organic search at 73.27%, followed by direct, with referral only about 4%; 3.3K keywords, with non-brand terms such as deepseek pricing, codex pricing, groq free models, and token counter, which correspond to the site's per-model price pages and comparison pages. The Show HN of 2025-07-25 got 339 points and was the source of the first wave of developer traffic; after that the founder posted on HN with every new page, but got only 1-2 points. The only social source is Reddit, and no channel was filled in on Revenue record. Returning users come back to check prices when models get price increases or cuts and new models launch, and through the newsletter.

Channel share, initial acquisition, and growth drivers are distinct; correlation does not imply proven causation.

04 / YOUR NEXT QUESTION

What remains to be verified?

The following are research questions, not established market opportunities.

  • What do target users actually pay for? Is there direct user feedback or paid interview evidence?
  • Are these historical prices still active today? What are the conversion, retention, and fulfillment costs?
  • Is the "Traffic estimate 2026-09: the top channel is organic search at 73.27%, followed by direct, with referral only about 4%; 3.3K keywords, with non-brand terms such as deepseek pricing, codex pricing, groq free models, and token counter, which correspond to the site's per-model price pages and comparison pages. The Show HN of 2025-07-25 got 339 points and was the source of the first wave of developer traffic; after that the founder posted on HN with every new page, but got only 1-2 points. The only social source is Reddit, and no channel was filled in on Revenue record. Returning users come back to check prices when models get price increases or cuts and new models launch, and through the newsletter." channel still viable? What resources do indie devs need to test it?
  • Whose needs are competitors failing to meet? Find specific evidence before deciding on your angle.

05 / BUSINESS EVIDENCE

Test stories with numbers

The following signals are used to audit cases, not to automatically validate product success or market opportunities.

1,800Snapshot MRR / USD (non-profit)
1,800Snapshot 30-day revenue / USD
2026-10-24Metric updated