CheapAI vs Modelflare

One model on two relays: integrity, speed, price, cache and availability, plus intelligence adjusted for degradation and value for money, with advice for the priority you choose.

Model
国产模型-全网最低
kimi-stable

Which to choose

Five dimensions

Further out is better. Integrity is the share of intelligence kept; the other four are places among all relays of this model.
IntegrityNot checkedSpeedPriceCacheNot checkedAvailability
CheapAIModelflare

What matters most to you

For Balanced, choose Modelflare

Main reasons

Integrity25%

Integrity: no data for at least one relay

Availability20%

Modelflare was available 98.0% of the last 24 hours; CheapAI 77.4%

Value20%

CheapAI gives 3.95 points per unit of money, 550% more than Modelflare at 0.61

Speed15%

Modelflare answers in 1.16 s, 62% faster than CheapAI at 3.02 s

Price15%

CheapAI costs ¥4.40 per session, 85% less than Modelflare at ¥28.6

Cache5%

Cache: no data for at least one relay

CheapAI

Stronger
Price¥4.40Value3.95
Weaker
Speed3.02 sAvailability77.4%

Modelflare

Stronger
Speed1.16 sAvailability98.0%
Weaker
Price¥28.6Value0.61

Key figures

Adjusted intelligence

Higher is better

Cost per coding session

2M input + 40k output tokens · Lower is better

Value for money

Intelligence points per ¥1 · Higher is better

All figures

Intelligence

Adjusted intelligence17.417.4
Intelligence keptNot checked100%
Question accuracyNot checked97% (90 questions)

Cost

Value for money3.950.61
Cost per coding session¥4.40¥28.6
Input price¥2¥13
Output price¥10¥64.999999999998
Cache discountNot providedNot provided

Performance

Time to first token3.02 s1.16 s
Availability, last 24 hours77.4%98.0%
Samples31198

Route

Group国产模型-全网最低kimi-stable
Data securityLevel 3Level 4
Adjusted intelligence = the model's published intelligence index × intelligence kept. Intelligence kept = the relay's question accuracy ÷ the highest accuracy among checked relays of the same model; under 10 questions, no adjustment. Value = adjusted intelligence ÷ cost per coding session. Gaps under a threshold count as close. Advice weighs the metrics by the chosen priority and is a guide only.