GOAT Plan: DeepSeek V4 Flash Cache Read billed ~53% higher than published rate (off-peak usage)

Summary

Description

I've identified a billing discrepancy on the GOAT plan when using DeepSeek V4 Flash. The actual cost for Cache Read tokens is significantly higher than the published rate in the official pricing table, while Input and Output costs match the table exactly.

Expected Behavior

Based on the official GOAT pricing table for DeepSeek V4 Flash:

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

With my usage (all during off-peak hours):

• 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

Actual Behavior

Dashboard shows:

• DeepSeek V4 Flash: $1.96

• web_search: $0.01

• Total actual: $1.97

That's a $0.31 difference

Steps to reproduce the issue

1. Use DeepSeek V4 Flash on the GOAT plan during off-peak hours.
2. Generate significant Cache Read usage (83.1M tokens over 2 days).
3. Compare the actual billed amount against the official pricing table.

Supporting Information

• Official pricing table: https://commandcode.ai/docs/plans/goat
• Usage breakdown (2 days):
  • Cache Read: 83.1M
  • Input (uncached): 2.5M
  • Output: 0.7874M
  • Total tokens: 86.4M

Command Code Version

1.29.0

Environment

• Plan: GOAT
• Model: DeepSeek V4 Flash
• Usage Period: August 17–18, 2026
• Usage Window: All off-peak hours (no peak-time surcharges should apply)
• ZDR (Zero Data Retention): Not enabled

Operating System

macOS

Terminal/IDE

WezTerm

Shell

zsh

Session file (optional)

No response

Fix prompt (optional)

No response

Additional context

I contacted support and was told that the GOAT plan uses credits and each model consumes them at a different rate. However, this doesn't explain why only Cache Read deviates from the table while Input and Output match perfectly.

I've also discussed this with other users and the hourly pricing theory was suggested (peak/off-peak rates), but since all my usage was during off-peak hours, that doesn't account for the discrepancy.

Note on Trace IDs:

I cannot access the individual trace IDs for those days because the Command Code Studio UI only displays the last 100 requests. I've asked support if there's a way to retrieve the full history, but I don't have the granular per-request data to pinpoint exactly which requests caused the overage. If there's an API endpoint or log export I can use to get the full trace history, please let me know.

先查看 GOAT 定价表和 DeepSeek V4 Flash 的 dashboard 使用情况明细，然后调查是否可以通过 API 或日志导出获取完整的 trace 历史记录。将所报告的非高峰时段的 Cache Read 计费与公布的费率进行比较；当差异得到纠正，或其计费依据得到明确解释时，即视为完成。