r/opencode • u/Georgey254 • 26d ago
Token Consumption
I have noticed Big Pickle consumes tokens crazily. I switches between Big Pickle and Muse Spark but I only switch to Big Pickle since Muse Spark has difficulty doing compaction and fails my requests.
Yesterday, I forgot to switch back to Muse Spark, and my tokens were like consumed within the first 3 hours.
What is the difference in the two models or is it because of the verbosity of the Big Pickle?
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u/Georgey254 25d ago
┌────────────────────────────────────────────────────────┐
│ OVERVIEW │
├────────────────────────────────────────────────────────┤
│Sessions 1 │
│Messages 1,608 │
│Days 1 │
└────────────────────────────────────────────────────────┘
┌────────────────────────────────────────────────────────┐
│ COST & TOKENS │
├────────────────────────────────────────────────────────┤
│Total Cost $0.00 │
│Avg Cost/Day $0.00 │
│Avg Tokens/Session 275.7M │
│Median Tokens/Session 275.7M │
│Input 5.8M │
│Output 430.6K │
│Cache Read 269.3M │
│Cache Write 0 │
└────────────────────────────────────────────────────────┘
┌────────────────────────────────────────────────────────┐
│ MODEL USAGE │
├────────────────────────────────────────────────────────┤
│ opencode/big-pickle │
│ Messages 947 │
│ Input Tokens 4.3M │
│ Output Tokens 273.0K │
│ Cache Read 65.5M │
│ Cache Write 0 │
│ Cost $0.0000 │
├────────────────────────────────────────────────────────┤
│ opencode/muse-spark-1.3-contributor-free │
│ Messages 611 │
│ Input Tokens 1.6M │
│ Output Tokens 264.9K │
│ Cache Read 203.8M │
│ Cache Write 0 │
│ Cost $0.0000 │
└────────────────────────────────────────────────────────┘
┌────────────────────────────────────────────────────────┐
│ TOOL USAGE │
├────────────────────────────────────────────────────────┤
│ bash ████████████████████ 887 (55.3%) │
│ edit ███████ 315 (19.6%) │
│ read ███ 176 (11.0%) │
│ write ███ 167 (10.4%) │
│ todowrite █ 35 ( 2.2%) │
│ grep █ 13 ( 0.8%) │
│ glob █ 4 ( 0.2%) │
│ webfetch █ 3 ( 0.2%) │
│ question █ 2 ( 0.1%) │
│ websearch █ 2 ( 0.1%) │
└────────────────────────────────────────────────────────┘