Deepseek v4 - Jailbroken
We are so back! Open source has had a peak year, KIMI k2.6 now Deepseek v4
Can simply add this to any system prompt or directly in chat. I tested across the Deepseek app and my own interface.
Thoughts
Super solid reasoning, takes on roles seamlessly. Runs into the classic Chinese issues via the Deepseek APP, simply replacing the content with “beyond my scope bs”
On Reasoning: It's chain of thought can be completely jailbroken, it will literally think it's a human and fight back against some requests, pretty awesome, gonna be rough for agents, as they will be open to jailbreaking.
On Writing: Pretty amazing writing, follows all my writing tips to a T, so easy to customize it how you like. Included a couple writing screenshots from some long form stuff I tested
On Coding: Follows instructions very very well, passed all my coding benchmarks, but will wait for the
Since he does a myriad of tests and always enjoy his thoughts.
Via API though it's completely uncensored, was able to get ANY content I wanted.
Tech/Specs
| Attribute | Details |
|---|---|
| Developer | DeepSeek AI (led by Liang Wenfeng) |
| Architecture | Mixture-of-Experts (MoE) + MLA + Engram Memory + mHC |
| Total Parameters | ~1 Trillion (1T) |
| Active Parameters | ~32B per token |
| Context Window | 1,000,000 tokens (1M native) |
| Memory System | Engram — O(1) hash lookup for static knowledge in DRAM |
| Hardware Optimized For | Huawei Ascend 910C (inference), Nvidia (training) |
| License | MIT / Apache 2.0 (open-weight) |
| Local Deployment | Dual RTX 4090 (Q4) — ~500GB VRAM; single RTX 5090 (INT4) |
| API Pricing (projected) | $0.14/M input tokens, $0.28/M output tokens |
| Cached Input (projected) | $0.07/M tokens |
| Cost vs Claude Opus 4.6 | ~24x cheaper per SWE-bench task |
| Open Source | Yes — full weights on HuggingFace |
| Release Date | March-April 2026 |
| Key Innovation | Engram decouples static knowledge (DRAM hash) from dynamic reasoning (GPU) |