Qwen3.8 Flash Next Abliterated

orca/orcacyber-qwen3.8-flash-next
NewFeaturedZDR
VisionToolsJSONReasoning
by OrcaCyber · 2026-10-26

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.

ctx262K tokens
Max output131K
Inputtext + image + video
Outputtext
p50 TTFT500 ms
Data retentionZero Data Retention available. With ZDR on, requests go only to providers with a zero-retention agreement.
INPUT$0.80/ 1M tokens
OUTPUT$1.60/ 1M tokens
p50 TTFT500 ms7d
p95 TTFT553 ms7d
TRAFFIC1.3Ktokens / 7d
Get the Qwen3.8 Flash Next Abliterated API →🔒 Enable access

Offensive-capability model · an engagement, a passkey and the terms

Pricing

Pricing
Input / 1M tokens$0.800
Output / 1M tokens$1.60
Cache read / 1M$0.150
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $10.40 · With prompt caching $8.13

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.000816

Estimate only — actual token counts depend on the provider's tokenizer.

Compare monthly costs across models in the LLM cost calculator

Performance

p50 TTFT
500 ms
Output speed
98.4 tok/s
p95 TTFT
553 ms
Error rate
40.0%

Public benchmarks

DeepSWE 1.1
58.7
GPQA Diamond
91.7
LiveCodeBench v6
91.9
SWE-bench Pro
62.5
Toolathlon Verified
73.5
Source: orca

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

How it compares

Qwen3.8 Flash Next AbliteratedOrcaCyber Ultra 1.0OrcaCyber Zero 1.0OrcaCyber Zero 1.5
Input $/M$0.80$5.00$3.00$3.00
Output $/M$1.60$10.00$7.50$7.50
Context262K1.0M1.0M1.0M
Quality8/109/109/109/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

More from OrcaCyber

FAQ

How much does OrcaCyber: Qwen3.8 Flash Next Abliterated cost on OrcaRouter?
OrcaCyber: Qwen3.8 Flash Next Abliterated is priced at $0.80 per 1M input tokens and $1.60 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is OrcaCyber: Qwen3.8 Flash Next Abliterated's context window?
OrcaCyber: Qwen3.8 Flash Next Abliterated supports a context window of 262K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call OrcaCyber: Qwen3.8 Flash Next Abliterated via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="orca/orcacyber-qwen3.8-flash-next" in the chat.completions.create call.
Does OrcaRouter rate-limit OrcaCyber: Qwen3.8 Flash Next Abliterated?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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Model card as data

GET /api/public/models/orca/orcacyber-qwen3.8-flash-nextOpen
Machine-readable:/llms.txt/llms-full.txt