OrcaCyber Qwen3.8 Flash Next 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 58.7 on DeepSWE 1.1 and 62.5 on SWE-bench Pro for agentic coding, 91.9 on LiveCodeBench v6, 91.7 on GPQA Diamond for scientific reasoning, and 73.5 on Toolathlon Verified for real-world tool use. It is multimodal, accepting text, image, and video input, so screenshots of interfaces and error states, network and architecture diagrams, dashboards, recorded sessions, and scanned material can be reasoned over alongside source code and long textual context. A 262,144-token native context window — extensible toward 1M — 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 131,072 tokens supports long single-pass artifacts — complete audit reports, annotated exploit chains, or extended patch diffs. Thinking mode is on by default and can be turned off for latency-sensitive calls, with selectable reasoning effort (low / medium / xhigh); 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 | $0.800 |
|---|---|
| Output / 1M tokens | $1.60 |
| Cache read / 1M | $0.150 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
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GET /api/public/models/orca/orcacyber-qwen3.8-flash-nextOpen @misc{orcarouter_orcacyber_qwen3_8_flash_next,
title = {Qwen3.8 Flash Next Abliterated API},
author = {OrcaCyber},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/orca/orcacyber-qwen3.8-flash-next}
}OrcaCyber. (2026). Qwen3.8 Flash Next Abliterated API. OrcaRouter. https://www.orcarouter.ai/models/orca/orcacyber-qwen3.8-flash-next