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Comment by metalspot | Hacker News Reader

I am getting 98.6% cache hit ratio on deepseek-v4-flash with opencode

That’s impressive!

On the sheer performance it’s comparable to Opus ?

Here are my stats (from DeepSeek directly, with a script I wrote). The prices are what equivalent Sonnet usage would have cost, the actual amount I paid was $10. On performance, DeepSeek V4 Pro is comparable to Sonnet for me.

     ./cost.py amount-2026-5.csv 0.3 3.75 15
    input_cache_hit_tokens: 472,971,520 tokens -> $141.8915
    input_cache_miss_tokens: 13,299,013 tokens -> $49.8713
    output_tokens: 3,334,962 tokens -> $50.0244
    cache hit rate: 97.27% (472,971,520/486,270,533)
    cache miss rate: 2.73% (13,299,013/486,270,533)
    total: $241.7872

All of this usage was with an OpenCode subagent exclusively.

out of curiosity, how do you measure cache hit rate in opencode ?

opencode stats

So the calculation is:

Total input token = input + cache read + cache write Cache hit rate = cache read / total input token.

That is 71% in my very limited use of opencode.

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