A GPT token, a Claude token, and a Gemini token are different products at different prices with different strengths. The TKX reduces them to one capability-adjusted value — so buyers can route with confidence, capacity can convert between providers at a fair rate, and a real market can clear.
Every model is scored across task families — reasoning, code, extraction, high-volume classification, conversation — against its blended price. The output is a value-per-dollar score for each model and a fair exchange rate between any two, refreshed as models and prices change. Because model quality shifts weekly, the benchmark is a permanent, automated process, not a one-time evaluation.
| Model class | Quality | Blended $/M | TKX value |
|---|---|---|---|
| Frontier reasoning | 96 | $20.00 | 48 |
| Workhorse general | 89 | $11.90 | 75 |
| Volume / fast | 76 | $2.38 | 100 |
| Open-weight blend | 72 | $1.65 | 96 |
Illustrative values pending launch of the live index. Methodology published with the benchmark.
Crude couldn't trade globally until it was graded. Electricity, bandwidth, and computing power followed the same path: a vital, volatile input becomes a market the moment there's an agreed unit to measure it by. AI tokens have the scale, the cost, and the volatility — the TKX supplies the unit.
Answer the question every finance team is asking: are we paying a fair price per unit of intelligence? Govern spend against the index, route each job to the best value, and negotiate with a reference in hand.
As computing power financializes on the world's major exchanges, contracts need a credible token benchmark to reference. The TKX is built to be that reference — published methodology, multi-provider weighting, and licensing for exchanges, banks, and trading desks.