One OpenAI-compatible API for four uncensored models — from sub-second general purpose to deep multi-stage reasoning.
Pre-paid credits, per-model pricing, team management, and usage analytics.
Refusal rates are from the open-source audn-ai/refusal-benchmark (519 harmful prompts, regex-classified — published as bounds, not ground truth). See how its labels map to these model ids.
Pingu Unchained 10
pingu-unchained-10$2 in / $8 out per 1M tokens
Huge context, general purpose.
pingu-unchained-10 (qwen3.8-abliterated) 1.9% refusal / 97.7% complyKong
kong$2 in / $8 out per 1M tokens
Fast and cheap, APAC-hosted.
GODZILLA
godzilla$7 in / $18 out per 1M tokens
Chained reasoner plus a clean answerer.
Necromicon
necromicon$4.50 in / $0.40 cached in / $4.50 out per 1M tokens
Unrestricted GLM 5.3, unlimited on the $999 month.
necromicon (Kimi K3) attempt 1 2.5% refusal / 96.9% comply · standard lanenecromicon (Kimi K3) attempt 2 2.9% refusal / 97.1% comply · standard lane, same config re-run to show run-to-run varianceE_modal-b300 3.3% refusal / 96.7% comply · the fast-lane run — what serves once a cohort cycle has filledWhen a cohort cycle fills, every necromicon leg runs on the fast lane (E_modal-b300). When it does not, the standard lane is what is tested — reported as attempt 1 and 2.
K3-Thinker-Qwen38
k3-thinker-qwen38$4.50 in / $0.40 cached in / $4.50 out per 1M tokens
K3 reasoning, Qwen3.8 answer. Beta / benchmarking.
J_k3-thinker-qwen38 3.1% refusal / 96.7% complyNecromicon-Qwen38-Fast
necromicon-qwen38-fast$4.50 in / $0.40 cached in / $4.50 out per 1M tokens
The K3-thinker chain, tuned for latency.
Not run on its own yet. The same K3-thinker + Qwen3.8 chain is benchmarked as J_k3-thinker-qwen38 under k3-thinker-qwen38.
WARLOCK
warlock$4.50 in / $0.40 cached in / $4.50 out per 1M tokens
Fast first token, full reasoning trace, our own hardware.
Omen Offensive Cyber (Stealth)
omen$3.30 in / $6 out per 1M tokens
Resold offensive-cyber model, 1M context.
Bartzabel
bartzabel$2 in / $8 out per 1M tokens
Fully uncensored Qwen3.8, single model, direct answers.
K_qwf (Qwen3.8-27B SFT on F-corpus) 0.0% refusal / 100% comply · this model — QW_F served single-leg; the only run with zero refusals, empties, truncations or errorsNECROMICON cohort
We are looking for 100 cybersecurity researchers and companies. Seats are still open. The cluster autoscales with the cohort, so nobody waits on a shared queue — tell someone who should be on it.
Send this to someone fast
Share the cohort — 100 researchers, unlimited fast GLM 5.3
up to777
tokens / sec
FAST mode from the day you join — unlimited, all month
Seats at audn.ai/necromicon
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Create and manage API keys for your team
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