IKunCode 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
grok-heavy-test
grok-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
IKunCodeModelflare

What matters most to you

For Balanced, choose IKunCode

Main reasons

Integrity25%

Integrity: no data for at least one relay

Availability20%

IKunCode was available 100.0% of the last 24 hours; Modelflare 98.5%

Value20%

IKunCode gives 24.4 points per unit of money, 143% more than Modelflare at 10.0

Speed15%

IKunCode answers in 4.13 s, 33% faster than Modelflare at 6.17 s

Price15%

IKunCode costs ¥1.27 per session, 59% less than Modelflare at ¥3.10

Cache5%

Cache: no data for at least one relay

IKunCode

Stronger
Speed4.13 sPrice¥1.27Availability100.0%Value24.4
Weaker
No clear gap

Modelflare

Stronger
No clear gap
Weaker
Speed6.17 sPrice¥3.10Availability98.5%Value10.0

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 intelligence31.031.0
Intelligence keptNot checked100%
Question accuracyNot checked97% (90 questions)

Cost

Value for money24.410.0
Cost per coding session¥1.27¥3.10
Input price¥0.6¥1.4608
Output price¥1.8¥4.3824
Cache discountNot providedNot provided

Performance

Time to first token4.13 s6.17 s
Availability, last 24 hours100.0%98.5%
Samples18197

Route

Groupgrok-heavy-testgrok-stable
Data securityLevel 0Level 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.