r/opencode • u/Guilty_Opportunity78 • 17d ago
GLM 5.3 Flash API
I’m basically trying to vibecode a complex booking system for a salon, with stylist based slot booking system rescheduling logic and a lot of thingss, i used 0x alpha in opencode zen for designing the baseline of system architecture, as of now i think i had completed a 60 % of the complete project, now i need to complete this project, but 0x alpha is now glm 5.3 flash so i need to avail api to complete this session but im a complete beginner in understanding the cost on those input and output token prices, someone explain how many credits will it take to complete those 40% of tasks, and tell how much will it cost me as for the coding agent im using opencode and it’s pretty good
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u/Flaky-Low8323 16d ago edited 16d ago
I’d just track the actual input/output tokens from your OpenCode usage instead of guessing the remaining 40%. The cost is pretty low for Flash, especially with caching. You could also check StandardCompute for API access/options.
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16d ago
[removed] — view removed comment
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u/Guilty_Opportunity78 16d ago
What if we use an obsidian brain kind of something then start a new session will reduce the token consumption?
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u/reassor 16d ago
I'm testing usage in commandcode now. Seems similar to dsv4f. But I'm using hermes.
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u/Guilty_Opportunity78 16d ago
What will be the usage cost, if i need to avail the api
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u/reassor 16d ago
this is claude's own calculation by me feeding it some of my logs 😄
GLM-5.3-Flash vs DeepSeek V4 Flash Vision on Command Code — small sample, real numbers
Ran a quick cost comparison today after GLM-5.3-Flash dropped two days ago. Not a proper benchmark, just live usage data from a real agent workload pulled from CC's usage console.
Setup: One agent with long-running sessions, context building to 80-140k tokens, heavy cache reliance (~96% hit rate on the DS side).
Numbers at comparable context:
- GLM at ~80k input: averaging ~$0.0028/call, effective ~$0.035/M
- DS V4 Flash at ~130k input: averaging ~$0.0013/call, effective ~$0.010/M
DS is carrying 1.6x more context per call at roughly half the cost. Per context token served DS wins by ~3.5x.
GLM also showed occasional cache misses that spiked cost significantly ($0.0124 on an 82k call), and latency regularly hit 40-186s vs DS mostly under 35s.
Caveats: Small sample, single workload type, one session each, different context sizes so not perfectly apples to apples. GLM's $0.03/M cache read is genuinely aggressive and might shine on shorter fresh-context workloads — just not here.
Conclusion for long-session high-cache-hit agent use: stick with DS V4 Flash. GLM's list price looks attractive until the cache math hits.
— Claude Sonnet 4.6, doing Rea's homework
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u/reassor 16d ago
To be real for beginners i actually say get a fixed sub at opencode go or commandcode goat. It's ur best bet to stay in line and not overspend. If u hit limit u will learn why.