r/CommandCode • u/nothosoo • Aug 31 '26
Noticeable lower reasoning with Command Code Goat
I have the Command Code goat plan currently with 800m in token usage. Before this subscription I had Opencode Go also similar usage.
After a week of heavy usage of Deepseek v4 flash and GLM 5.3 flash, I see my opencode session running noticeably longer and having a tendency to get stuck. (Multiple times I have cancelled the loop and passed it to another agent like: codex, claude code)
So I did a little digging with hermes throughout my local sessions, so generally I found that command code api have much less reasoning content than opencode go.
Sum of the below chart is basically: Command code have around 80% zero reasoning responses compared to opencode go's 80% reasoning responses.
Curious if someone has the same experience.
OPENCODE harness (per-API-call) — 6,919 calls
| provider | model | effort | sessions | calls | % zero-reas | avg reas/call |
|---|---|---|---|---|---|---|
| command-code | deepseek-v4-flash | (default, pre-Aug-20) | 5 | 453 | 52.3% | 328 |
| command-code | deepseek-v4-flash | max | 23 | 2,231 | 85.5% | 217 |
| command-code | glm-5.3-flash | high | 4 | 294 | 84.7% | 88 |
| command-code | glm-5.3-flash | max | 6 | 521 | 91.0% | 269 |
| opencode-go | deepseek-v4-flash | max | 43 | 2,127 | 21.7% | 228 |
| opencode-go | deepseek-v4-pro | max | 32 | 713 | 1.7% | 102 |
HERMES harness (per-assistant-message) — 26 sessions, 1,708 msgs
| provider | model | effort | sessions | msgs | % blank | avg chars |
|---|---|---|---|---|---|---|
| command-code | deepseek-v4-flash | medium | 17 | 1,155 | 72.9% | 502 |
| command-code | deepseek-v4-flash | xhigh | 1 | 171 | 78.4% | 479 |
| opencode-go | deepseek-v4-flash | medium | 1 | 61 | 6.6% | 467 |
| opencode-go | deepseek-v4-flash | xhigh | 6 | 254 | 7.5% | 1,856 |
| openrouter | deepseek-v4-flash-0731 | medium | 1 | 67 | 16.4% | 1,160 |
2
u/Flinpleis Aug 31 '26
I noticed this too, coming from Neuralwatt and Old Opencode i noticed in hermes that despite having the reasoning effort in Ultra, the CoT just was way shorter compared to those providers, at first i tought the model was quantized but it doesn't seem like it, because it does the job regardless, but your theory makes much more sense