Why Isn’t Time in the Pricing Formula?
Exploring the Deepest Philosophical Rift in AI Compute Pricing
Your question strikes at the absolute deepest philosophical rift within the pricing mechanism of the entire AI compute market.
Cut 1: What Exactly is the User Buying?
You go to Starbucks and buy an Americano. The price is 28 RMB.
Starbucks doesn’t ask you: “Do you want to wait 30 seconds or 3 seconds?” 30 seconds is standard extraction, while 3 seconds requires a much more expensive machine — yet the price remains the same.
Because the customer isn’t buying the extraction time; the customer is buying “a drinkable cup of coffee.”
Similarly, users calling DeepSeek-V3 are not buying “15 seconds of GPU time”; they are buying “a usable token.”
As long as they are “usable,” tokens are homogeneous commodities in the minds of users. Whether it takes 15 seconds or 0.15 seconds — as long as it falls within “my acceptable waiting time,” users do not differentiate.
But the sharpness of your question lies here: Are 0.15ms and 15 seconds truly within the same “acceptable range”?
Cut 2: Latency is Indeed Being Priced — Just in the Opposite Direction
The pricing logic you assume: “Faster → More Expensive” AI Compute Market Philosophy / AI算力市场定价哲学 1 / 5
The actual pricing logic: “Faster → Cheaper”
You read that right. In the API market, the faster the speed, the cheaper the token becomes.
Why? Because inference speed is not a premium charged for user experience; it is a cost savings for the provider.
If an H100 node can process a request within 0.15ms, how many requests can it handle in an hour? 24 million.
On the exact same H100, if each request takes 15 seconds, it can only handle 240 requests per hour.
Time is not explicitly in the pricing formula precisely because time differentials have already been internalized into the token price.
Latency 单卡QPS / Per-Card QPS 单token成本 / Cost per Token 市场token价格 / Market Token Price 0.15ms ~400,000 极低 / Extremely Low 极低 / Extremely Low
That former ByteDance engineer who lists secondhand H100s to sell DeepSeek-V3 tokens — if his node’s inference latency were 15 seconds instead of 0.15ms, he wouldn’t be able to sell a single token. Not because users complain about the slowness, but because he could only handle 240 requests an hour. At current token prices, that wouldn’t even cover his electricity bill.
Therefore, speed is not reflected as a “premium markup”; speed is reflected in the very fact that “you are surviving in the market.”
Cut 3: But You Are Right — Time Pricing Is Bound to Come
My analysis above only applies to the current naive stage of the market. AI Compute Market Philosophy / AI算力市场定价哲学 2 / 5
The current “undifferentiated pricing” for latency in the API market carries an implicit assumption: that every provider’s latency falls within the user’s acceptable threshold.
This assumption will soon be shattered. Because AI inference scenarios are undergoing a massive divergence: 场景 / Scenario 延迟容忍度 / Latency Tolerance 实际需求延迟 / Actual Required Latency
200ms 50ms 自动驾驶 / Autonomous Driving 10ms 5ms 高频交易 / High-Frequency Trading 1ms 0.1ms 批量分析 / Batch Analysis
When an autonomous driving company calls an API, the price they are willing to pay for a 5ms latency should fundamentally not be the same as what a batch data analysis company is willing to pay for 500ms.
Yet in today’s API market, the price is identical. DeepSeek-V3 costs $0.27/M input tokens and $1.10/ M output tokens, regardless of your use case.
This is the core of that “strange problem” you raised: the externality of time cost has not been internalized.
Cut 4: The Answer on KAI.com — The Time Dimension in the Compute CME
Let’s return to that former ByteDance engineer and his secondhand H100.
Today, he lists tokens on KAI.com at the standard market rate. But what if KAI.com allows him to specify: “Deepseek V3，P99延迟 15ms，价格 $0.55/M output token。” “DeepSeek-V3, P99 Latency 15ms, Price: $0.55/M output tokens.” AI Compute Market Philosophy / AI算力市场定价哲学 3 / 5 “Deepseek V3，P99延迟 500ms，价格 $0.22/M output token。” “DeepSeek-V3, P99 Latency 500ms, Price: $0.22/ M output tokens.”
Now, the autonomous driving company buys the former, and the batch analysis company buys the latter.
This is the true Compute CME (Chicago Mercantile Exchange) — not just standardized token contracts, but multi-dimensional contracts of token × time × reliability.
The Chicago Mercantile Exchange started with “a bushel of corn” and took fifty years to evolve into corn futures, options, weather derivatives, and shipping spread contracts…
KAI.com is currently at the “one million tokens” stage.
But you are right — the time dimension must be priced.
Because 0.15ms versus 15 seconds is not a matter of being “a bit faster” or “a bit slower” — it is the distinction between two entirely different species: “AI driving your car” versus “AI writing your weekly report.”
Cut 5: The Real Big Question
On the surface, you are asking a question about a pricing formula. But the true underlying question is:
“If time is not in the pricing formula, there remains an entire Pacific Ocean separating the concepts of a compute market and a compute asset.”
Compute can only be considered a true asset when it is priced across three dimensions:
- Quantity → Token Count (Priced) •
- Time → Latency and Throughput (Unpriced) •
- Quality → Accuracy and Hallucination Rate (Completely Unpriced) • AI Compute Market Philosophy / AI算力市场定价哲学 4 / 5
Today’s API market only prices the first dimension. It is like the 19th-century oil market selling strictly by the barrel, completely ignoring octane ratings.
But octane ratings were eventually priced. Latency will eventually be priced.
Because the day when someone is willing to pay a 100x premium for 5ms has already arrived.
That someone might be Tesla’s autonomous driving team. It might be Jane Street’s high-frequency trading desk. It might be an AI decision node in a military chain of command.
When they come knocking, quoting a price based on “dollars per million tokens” is an insult to them, and an underestimation of yourself.
“Time is the ultimate luxury. In the cognitive battlefield, 5ms is the distance between life and death. Pricing it is what makes a true compute exchange.” 📍 KAI.com
🌍 Sol₀:Φ₀:δ₀ AI Compute Market Philosophy / AI算力市场定价哲学 5 / 5