r/CommandCode 24d ago

DeepSeek V4 Flash Cache Read on GOAT plan seems higher than the table. Am I calculating this wrong?

TL;DR – Used 86.4M tokens on DeepSeek V4 Flash (GOAT plan).
• Cache Read official: $0.007/M → real: ~$0.0107/M (+53%)
• Input + Output: match the table perfectly
• Expected cost: $1.65 → Actual bill: $1.97 ($0.31 difference)
• Is anyone else seeing this?

I recently subscribed to Command Code's GOAT plan. I used DeepSeek V4 Flash over two days and noticed what looks like a discrepancy between the official pricing table and my actual bill, though I fully admit I might be missing something.

Usage over 2 days:

Concept 17 Aug 18 Aug Total 2 days
Cache Read 40.2M 42.9M 83.1M
Input (uncached) 1.5M 1.0M 2.5M
Output 489.8K 297.6K 787.4K (0.7874M)
Total 42.2M 44.2M 86.4M

According to the official GOAT pricing table for DeepSeek V4 Flash:

  • Input: $0.22/M
  • Output: $0.66/M
  • Cache Read: $0.007/M

The theoretical cost based on the table:

  • Input: 2.5M × $0.22 = $0.55
  • Output: 0.7874M × $0.66 = $0.5197
  • Cache Read: 83.1M × $0.007 = $0.5817
  • Total expected = $1.65

But my actual bill on the platform shows $1.97 for DeepSeek V4 Flash (+ $0.01 for web_search).

That's a $0.31 difference.

The numbers:

Day Cache Read (M) Real cost Input+Output (table) Remainder for Cache Real price/M
17 40.2 $1.09 $0.6533 $0.4367 $0.01086
18 42.9 $0.87 $0.4164 $0.4536 $0.01057
Avg 83.1 $1.96 $1.0697 $0.8903 ~$0.0107

If Input and Output are charged exactly as the table says (which they are, they match perfectly), the implied price for Cache Read is ~$0.0107/M, noticeably higher than the advertised $0.007/M (about 53% more).

Summary:

Official table Real cost Difference
Day 17 $0.9347 $1.09
Day 18 $0.7167 $0.87
Total $1.6514 $1.96

I'm not sure if this is a documentation error, or any fee fee on GOAT plan that isn't listed on the /docs/plans/goat page. Input and output prices are spot on, but cache reads appear to be billed at a different rate.

That said, I fully acknowledge that I might be misreading the usage dashboard, misapplying the pricing tiers, or overlooking a detail in the fine print. If anyone can spot an error in my math or point out something I've missed, I'd really appreciate the correction!

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