Show HN: Abliterated LLM provider for cyber tasks

Refuseless launched an abliterated version of GLM 5.3, an open model with refusals removed, served through OpenAI-compatible endpoints with zero prompt retention for cybersecurity teams. The provider reports the model scores 66.9 on DeepSWE agentic coding, 84.5 on CyberGym cybersecurity, and solves 105 of 130 exploits on ExploitGym, and offers $5 in free credits with credit card and cryptocurrency accepted. The lineup includes glm-5.3-abliterated and glm-5.3-flash-abliterated, both with a 1,048,576-token context window and 16,384-token output limit, accessible via the base URL https://api.refuseless.com/v1.

Frontier coding and cybersecurity GLM 5.3 Abliterated The most powerful open model for cyber tasks to date, with refusals removed. - DeepSWE 66.9 agentic coding - CyberGym 84.5 cybersecurity - ExploitGym 105/130 exploits solved PROMO$5 FREE CREDITS Abliterated models served via OpenAI-compatible endpoints, zero prompt retention. Credit card & cryptocurrency accepted for cybersecurity teams and professionals Cost-effective cyber intelligence Very powerful model competing with frontier at much lower cost. OpenCode and Pi both speak this API. { "$schema": "https://opencode.ai/config.json", "model": "refuseless/glm-5.3-abliterated", "provider": { "refuseless": { "npm": "@ai-sdk/openai-compatible", "name": "Refuseless", "options": { "baseURL": "https://api.refuseless.com/v1", "apiKey": "{env:REFUSELESS API KEY}" }, "models": { "glm-5.3-abliterated": { "name": "GLM 5.3 Abliterated", "tools": true, "reasoning": true, "limit": { "context": 1048576, "output": 16384 } }, "glm-5.3-flash-abliterated": { "name": "GLM 5.3 Flash Abliterated", "tools": true, "reasoning": true, "limit": { "context": 1048576, "output": 16384 } } } } } } export REFUSELESS API KEY="rk-…" on Mac, $env:REFUSELESS API KEY="rk-…" on Windows. The sample above reads it via {env:REFUSELESS API KEY} . ~/.config/opencode/opencode.json , Windows: C:\Users\<you \.config\opencode\opencode.json . Create it if missing. If it already has a "provider" object, add "refuseless" inside it — don't overwrite the rest. opencode --model refuseless/glm-5.3-abliterated , or /models inside the TUI and pick refuseless / glm-5.3-abliterated . Model glm-5.3-abliterated context 1,048,576 — all 2 lineup models ship in the block, swap the id after refuseless/ to switch — send Say ok. to verify. Same request shape as OpenAI chat completions. Point the base URL at Refuseless, set a lineup id, send the key. curl https://api.refuseless.com/v1/chat/completions \ -H "Authorization: Bearer $REFUSELESS API KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "glm-5.3-refuseless", "messages": {"role": "user", "content": "Write a tight system prompt."} }' Host and path are the intended contract. Auth is the API key.