DeepSeek hiked prices 12x (that's +1100%) after Aug 16

2026-08-25 13:57

DeepSeek hiked prices 12x (that's +1100%) after Aug 16. This past week it cost me over ¥1,000, and ds is still mostly my fallback. I go through a lot of tokens, but across every model I'm pushing 1B+ a week. I'm mostly coding, though this applies elsewhere. Don't run everything through one model. Web lookups and local search go to free or cheap ones. I only pull the top tier for planning, big decisions, and the parts that actually hurt. So at minimum two tiers: a top sub like ChatGPT or Grok, plus a cheap/free model. Hy3 handles the chores. What I run now: ChatGPT + Grok dual sub for the heavy lifting; commandcode's $1 plan to flip between top and cheap on demand; a pool of 50 IPs cycling opencode's hy3-free (each IP gets free daily quota, no login); and workbuddy's daily check-in for points I burn on cheap hy3 calls. It's a stupid amount of plumbing for one week of bills. The ¥1,000 stung enough that I sat down and built it.

DeepSeek Harness is the best mobile agent setup right now

I'm probably switching from Pi to DSH. Main reason: I don't want to carry a laptop around anymore. DSH and Pi are similar: two-layer loop, everything's a plugin, migration should be painless. Old remote setup was Tailscale + tmux + Termius + Claude Code on a server. It worked, but the mobile terminal was painful for both commands and file transfers. DSH's web UI just fits mobile. No IDE bloat. Sessions live in the browser, so a disconnect doesn't kill your task. Need to show the agent an image? Write an upload plugin and send it from the web. One real downside: DSH's security model doesn't allow remote access, so you have to patch the source to expose the web UI through your tunnel. It's still beta, so I'm betting the team adds proper remote support eventually.

2026-08-26

meta/muse-spark-1.2-contributor is free to use.opencode's free

tier also has meta/muse-spark-1.2-contributor, but that model's server is flaky, so I use hy-3 as my subagent model most of the time. Also, the opencode free models on 9router don't auto-show in pi. You can only nest the oc free model via the composite form, and that combo caps at 128K context unless you hand-write the config. So I built a pi extension: set /9router with your address and key, and it auto-detects every model on 9router, including the oc free ones. pi install npm:@haoyiyin/9router

2026-08-25

Meituan shipped LongCat-2.5

. 1.6T params, ~48B active, native multimodal, aimed at long-horizon agents, trained start to finish on Chinese hardware. Images get quantized into multi-level discrete tokens, and that's where Visual Coding and 3D pick up. On the RL side, failed trajectories get turned back into verifiable training tasks. W4A4 inference, 43% faster prefill. Meituan's own evals put it between Claude Opus 4.8 and Opus 5.

2026-11-02

SenseTime open-sourced SenseNova Loop-9B-Preview.

It stacks layers instead of parameters. The decoder has 32 layers, but layers 4 through 27 run twice with shared weights, so a forward pass does 56 layers of work while the checkpoint stays at 9B. Their own eval numbers: 71.38 on BIRD-Dev and 13.72 on AutomationBench, both above Qwen3.5-27B. Terminal Bench is still behind.

2026-11-02