Hy4 Abliterated / Uncensored

orca/orcacyber-hy4
Featured
VisionToolsJSONReasoning
by OrcaCyber · 2026-11-04

Cybersecurity model for authorized security research, based on Tencent Hunyuan Hy4 (official release) with refusal behavior removed. Full offensive/defensive workflow: vulnerability research, exploit development, pentest/red-team tooling, auditing, malware analysis. Text + image in, text out, 1M-token context, up to 64K output. Access-gated to the Security Research tier.

ctx1M tokens
Max output65K
Inputtext + image
Outputtext
p50 TTFT4.51 s
INPUT$0.80/ 1M tokens
OUTPUT$1.60/ 1M tokens
p50 TTFT4.51 s7d
p95 TTFT9.58 s7d
TRAFFIC34.4Mtokens / 7d
Get the Hy4 Abliterated / Uncensored API →🔒 Enable access

Offensive-capability model · a passkey and the terms

A cybersecurity model based on Tencent's Hunyuan Hy4 (official release), purpose-built for authorized security research and security engineering across the full offensive and defensive workflow.…

What is OrcaCyber Hy4?

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.

Performance

p50 TTFT
4.51 s
Output speed
101 tok/s
p95 TTFT
9.58 s
Error rate
0%

Public benchmarks

Source: Design Arena

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

How it compares

Hy4 Abliterated / UncensoredGLM 5.3 Abliterated / UncensoredOrcaCyber Ultra 1.0OrcaCyber Zero 1.0
Input $/M$0.80$3.00$5.00$3.00
Output $/M$1.60$5.00$10.00$7.50
Context1.0M1.0M1.0M1.0M
Quality8/109/109/109/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

More from OrcaCyber

FAQ

What is OrcaCyber Hy4?
A cybersecurity model based on Tencent's Hunyuan Hy4, purpose-built for authorized security research and security engineering across the full offensive and defensive workflow. Refusal behavior is removed, so it engages directly with offensive-security tasks that general-purpose assistants decline.
Who can use it?
It is access-gated to the Security Research tier, intended for trusted security researchers, red teams, and authorized security testing.
What are the context and output limits?
A 1M-token context window — enough for whole repositories, large log sets, packet captures or disassembly listings in one call — with up to 64K output tokens for long single-pass artifacts.
What capabilities does it support?
Text and image in, text out, thinking and non-thinking modes with selectable reasoning effort, native function calling, and structured (JSON) output, over an OpenAI-compatible API.

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Model card as data

GET /api/public/models/orca/orcacyber-hy4Open
Machine-readable:/llms.txt/llms-full.txt