Lance KeayFull-stack & DevOps · notebook

Table14

AI token market, November 2026

Market · monthly price ledger · · 6 min read

Verdict · price report
Output tokens still drive the bill. The small tiers now cover most agent sub-tasks, so route by task, not by vendor.
Models tracked
11 live, 1 retiredSix vendors, sample set
Prices in
US$ per million tokensList price, no batch or volume discounts
Sample month
40M in, 4M out30M of the input served from cache
Compared with
October 2026Change is on the blended price

SampleVendor and model names are placeholders and every price below is sample data, written to show how the monthly table works. None of it is a current price.

How to read it

Each row is one model at its list price. Blended assumes three input tokens for every output token, which is roughly the mix chat and coding assistants produce. The last column is what a sample month of agent work would cost: 40 million input tokens, 30 million of them cache hits, and 4 million output tokens.

Sort by any column. Hover or tab into a cell to follow its row and column; arrow keys move between cells. On a phone, swipe the table sideways; the model name stays pinned.

The ledger

Table 14.1 · Model prices, November 2026Sample data · US$ per million tokens
tokens $ / M $ / M $ / M $ / M blended $ total
Vendor A · Largeclosed Frontier 400k 3.00 0.30 15.00 6.00 0% 99.00
Vendor A · Mediumclosed Mid 400k 1.00 0.10 5.00 2.00 −20% 33.00
Vendor A · Smallclosed Small 200k 0.25 0.03 1.25 0.50 0% 8.40
Vendor B · Proclosed Frontier 1,000k 2.50 0.25 12.00 4.88 0% 80.50
Vendor B · Flashclosed Small 1,000k 0.15 0.04 0.60 0.26 −13% 5.10
Vendor C · Reasonerclosed Frontier 200k 5.00 0.50 25.00 10.00 new 165.00
Vendor C · Chatclosed Mid 200k 0.80 0.08 3.20 1.40 0% 23.20
Vendor D · Open 70Bopen, hosted Mid 128k 0.60 — 0.80 0.65 −7% 27.20
Vendor D · Open 8Bopen, hosted Small 128k 0.05 — 0.08 0.06 0% 2.32
Vendor E · MoE Largeopen, hosted Frontier 256k 0.40 0.10 1.60 0.70 +8% 13.40
Vendor F · Miniclosed Small 128k 0.10 0.025 0.40 0.18 0% 3.35
Vendor C · Chat v1retired 31 Oct Mid 200k 1.00 — 4.00 1.75 retired 56.00

— no cached-input price; the sample month charges full input.Dashed, struck row: retired during the month, kept for comparison.“open, hosted”: open-weights model on a hosted endpoint.

What moved

Three cuts and one rise in the sample set. Vendor A's mid tier dropped a fifth on the blended price, Vendor B's fast model came down again, and the hosted 70B open model shaved a little off. The hosted mixture-of-experts model went up slightly.

One frontier reasoning model joined at the top of the range. In the sample month it costs about seven times the mid-tier model from the same vendor, almost all of it from output tokens.

Output is still the bill

For most rows, output costs four to five times input. An agent that writes long plans or verbose diffs pays for it here. Trimming what the model writes back is usually worth more than switching vendor.

Routing advice

  • Sub-tasks such as classification, extraction and short summaries: the small tier. Check quality on twenty real examples before you commit.
  • Day-to-day coding help: a mid-tier model with caching on. Long system prompts and repository context are exactly what caching is for.
  • Hard planning steps only: the frontier tier, called rarely and with a cap on output length.

Running models yourself instead? Read the Ollama review before you buy a GPU.

Want this table for your own usage?

I help teams measure what their AI tooling actually spends, route work to the right tier and put caching in front of it.