OrcaCyber DeepSeek V4.1 Flash Abliterated is the fast, cost-efficient tier of the OrcaCyber line, a cybersecurity model purpose-built for authorized security research and security engineering. It covers the full offensive and defensive workflow: vulnerability research and reproduction, exploit development and proof-of-concept construction, penetration testing and red-team tooling, security auditing and secure code review, malware and binary analysis, log and network-traffic triage, detection engineering, and multi-step cyber reasoning. Refusal behavior is removed, so the model engages directly with offensive-security tasks that general-purpose assistants decline. It reports 88.1 on CyberGym, 62.8 on SEC-Bench Pro, 90.6 on Terminal-Bench 2.1, 74.2 on DeepSWE v1.1, and 90.9 on GPQA Diamond. It accepts both text and image input, so screenshots of interfaces and error states, network and architecture diagrams, dashboards, and scanned material can be reasoned over alongside source code and long textual context. A 1M-token context window lets whole repositories, large log sets, packet captures, or disassembly listings sit in a single call without a retrieval pipeline, while an output ceiling of up to 384K tokens supports long single-pass artifacts — complete audit reports, annotated exploit chains, or extended patch diffs. Thinking and non-thinking modes with selectable reasoning effort, native function calling, and structured JSON output make it well suited to agentic security tooling that plans, invokes tools, and returns machine-parseable results. As the Flash tier it is tuned for high-throughput, long-context work where cost per token matters — large-scale vulnerability triage, bulk code and config auditing, and agent loops that carry a lot of state — rather than one-shot hardest-reasoning tasks, for which the heavier OrcaCyber tiers remain the better fit. Served through an OpenAI-compatible API and access-gated to the Security Research tier for trusted security researchers, red teams, and authorized security testing.
Offensive-capability model · an engagement, a passkey and the terms
| Input / 1M tokens | $0.700 |
|---|---|
| Output / 1M tokens | $1.60 |
| Cache read / 1M | $0.100 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
What developers are saying this week
GET /api/public/models/orca/orcacyber-flash-1.0Open @misc{orcarouter_orcacyber_flash_1_0,
title = {DeepSeek V4.1 Flash Abliterated API},
author = {OrcaCyber},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/orca/orcacyber-flash-1.0}
}OrcaCyber. (2026). DeepSeek V4.1 Flash Abliterated API. OrcaRouter. https://www.orcarouter.ai/models/orca/orcacyber-flash-1.0