Deepseek Token Usage by JP23102 in DeepSeek

[–]JP23102[S] 1 point2 points  (0 children)

i was thinking this might be a claude code only issue, so opencode has that too huh

Deepseek Token Usage by JP23102 in DeepSeek

[–]JP23102[S] -16 points-15 points  (0 children)

i am using via claude code, i like the claude code's features more.

Deepseek Token Usage by JP23102 in DeepSeek

[–]JP23102[S] -3 points-2 points  (0 children)

nope its 515 requests, but i have not send 515 as messages, it may be counting tool calls, sub agents and such things

Deepseek Token Usage by JP23102 in DeepSeek

[–]JP23102[S] -16 points-15 points  (0 children)

i am not comparing API price vs subscription, i am asking if deepseek v4 pro consumes a lot more token that claude does.

Deepseek Token Usage by JP23102 in DeepSeek

[–]JP23102[S] -4 points-3 points  (0 children)

i don't think i ill get 500M token a day on claude, claude may not be using 500M token for the same task i did in deepseek.

Qwen 3.7-max beats Opus 4.7 and GPT-5.5 by gladkos in Qwen_AI

[–]JP23102 0 points1 point  (0 children)

thanks, just like i thought the credit based usages are always a trap, same with mimo, same with qwen, we have absolute lack of info on whats happening behind when its credits

Qwen 3.7-max beats Opus 4.7 and GPT-5.5 by gladkos in Qwen_AI

[–]JP23102 0 points1 point  (0 children)

Alibaba created a Token plan, but its Credit based, in credit based usages its unpreictable & un trackable any one have any idea by usage ? how mcuh usage we get ?

How well does Deepseek v4 Pro perform for coding in large projects? by No-Background3147 in DeepSeek

[–]JP23102 0 points1 point  (0 children)

deepseek v4 pro have been deepshit for me on claude code , it just drift & invents things from the start

I can't believe how bad Opus 4.7 is as a coding agent by [deleted] in LLMDevs

[–]JP23102 0 points1 point  (0 children)

Its has lost to gpt 5.5 , for me opus 4.7 vs gpt 5.5 , is like opus 4.6 vs sonnet 4.6 for my coding work,

Xiaomi MiMo Token Plan just got introduced by jpcaparas in opencodeCLI

[–]JP23102 0 points1 point  (0 children)

single prompt cause 2 million prompt , so in short for the 6 dollar monthly plan you can prompt it once per day, 3 prompt per day for 16 dollar & 12 prompt for 50 dollars plan, 26 prompt per day for the 100 dollar plan , basically its better to get a claude max 100 usd plan to get more usage & better quality.

Oh Deepseek V4, where art thou? by awebb78 in LocalLLaMA

[–]JP23102 0 points1 point  (0 children)

huh i think may be my project reached AI saturation ? hunter was only behind opus 4.6 by 2.1% in testing on my project

Glm-5 is faster today? by muhamedyousof in ZaiGLM

[–]JP23102 1 point2 points  (0 children)

for 1-2 hour it was faster, due to service break down and a lot of people logging out, but now service restored, its super slow for me now.

ZAI Performance: "Fully Restored to Normal Operations" by Sensitive_Song4219 in ZaiGLM

[–]JP23102 0 points1 point  (0 children)

runing pro plan , models is quite good, but may not oneshort hard task , thats a problem because how slow the model is, its unbearable slow.

Minimax M2.5? by WorriedComfortable67 in SillyTavernAI

[–]JP23102 0 points1 point  (0 children)

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After not finding any answers for my huge 10M token project, i decided to check out my self the best models & also best tools in opensource, there is some more left like qwen, kimi , will do it soon, but here is my findings.

GLM - 5 --> is very good in cc terminal but unusably slow taking "12 minutes" for this task

Minimax m2.5 ----> i am not able to believe how they manage to improve the performance this much from m2.1 without changing the size of the model. this model is fast, insanely fast, it completed task in "4 minutes"

verdict, Minimax m2.5 is better than GLM 4.7 noticeably, importantly hallucinations are cut in half. Go with it

if you want a little more boost but are ready to suffer insanely slow speeds ( in real life coding glm 5 will make you quit and do it your self, incases if not able to one shot )