Ask HN: Best LLM Subscription as of Now?
A Hacker News user asked for recommendations on the best LLM subscription as of now, prioritizing coding use cases and value for money, with OpenCode Go and Cursor mentioned as interesting due to good…
A Hacker News user asked for recommendations on the best LLM subscription as of now, prioritizing coding use cases and value for money, with OpenCode Go and Cursor mentioned as interesting due to good…
OpenCode Go, a new low-cost subscription service from OpenCode, offers 8× usage limits for Hy3 for a limited time, priced at $5 for the first month and $10/month thereafter. The service provides relia…
ProgressEdd, a developer, criticized GLM's updated coding plan for reduced token allowances, stating he will not upgrade and will keep his Legacy V2 plan due to GLM's openness in publishing weights an…
A Hacker News user asked for recommendations on LLM subscriptions or providers to use with the pi harness, noting dissatisfaction with Claude Code over the past 2-3 months and satisfaction with Codex.…
Pi, a minimal terminal coding harness, achieved a 66.7% pass rate (20 of 30 tasks) in Composio's benchmark using DeepSeek V4 Flash, the best among four newly tested harnesses, and was the cheapest at …
The average OpenCode Go user spent $1.14 per day on DeepSeek Flash V4 this past week, while a dual DGX setup costs $10,000, taking 24 years to break even, or 2.4 years at 10x usage. The comparison hig…
A Reddit thread revealed that the easiest way to try Kimi K3 is via Moonshot's OpenAI-compatible API, not local inference. The discussion highlighted that users sought alternatives after Claude began …
A developer built a personal AI agent called Al after finding existing options like OpenClaw too expensive and unpredictable. The agent runs on a remote server using Pi, OpenCode Go, Telegram, and oth…
The article explains that OpenCode Go's usage limits are based on dollar amounts ($12 per 5-hour window) rather than request counts, making model routing critical because different models offer vastly…