OrcaCyber Ultra 1.0

orca/orcacyber-ultra-1.0
FlagshipFeatured
ToolsJSONReasoning
by Orca · 2026-10-17

OrcaCyber Ultra 1.0 is the flagship of the OrcaCyber trillion-parameter cybersecurity model series, built for large-codebase security scanning, vulnerability discovery and exploit-chain analysis, penetration-testing assistance, and malware / log forensics. With a native 1M-token context it ingests an entire repository, audit report or long log stream in one pass for cross-file reasoning, supports deep reasoning mode and structured JSON output, and plugs into automated security pipelines.

ctx1M tokens
Max output131K
Inputtext
Outputtext
p50 TTFT875 ms
INPUT$5.00/ 1M tokens
OUTPUT$10.00/ 1M tokens
p50 TTFT875 ms7d
p95 TTFT2.13 s7d
TRAFFIC3.7Ktokens / 7d
Get the OrcaCyber Ultra 1.0 API →🔒 Enable access

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

OrcaCyber Ultra 1.0 is the flagship of the OrcaCyber trillion-parameter cybersecurity model series, built for large-codebase security scanning, vulnerability discovery and exploit-chain analysis,…

What is OrcaCyber Ultra 1.0?

Pricing

Pricing
Input / 1M tokens$5.00
Output / 1M tokens$10.00
Cache read / 1M$0.750
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $65.00 · With prompt caching $50.13

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.005100

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

Performance

p50 TTFT
875 ms
Output speed
84.4 tok/s
p95 TTFT
2.13 s
Error rate
0%

Public benchmarks

Source: Design Arena

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

How it compares

OrcaCyber Ultra 1.0OrcaCyber Zero 1.0OrcaCyber Zero 1.5OrcaVerify Text 1.0
Input $/M$5.00$3.00$3.00$2.00
Output $/M$10.00$7.50$7.50—
Context1.0M1.0M1.0M—
Quality9/109/109/105/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

FAQ

What is OrcaCyber Ultra 1.0 for?
It is the flagship of the OrcaCyber trillion-parameter cybersecurity series, built for large-codebase security scanning, vulnerability discovery and exploit-chain analysis, penetration-testing assistance, and malware / log forensics. It is intended for trusted security researchers, red teams, and authorized security testing.
How large an input can it take?
A native 1M-token context window, so it can ingest an entire repository, audit report or long log stream in one pass for cross-file reasoning. Output is up to 128K tokens.
Does it support reasoning and structured output?
Yes. It has a deep reasoning mode (reasoning is returned separately from the final answer, and can be turned off per request) and structured (JSON) output via response_format with json_schema or json_object.
What about tools and streaming?
It supports function calling with tool_choice (auto / none / a specific function), parallel tool calls, and SSE streaming.
How do I call it?
Through an OpenAI-compatible API: POST /v1/chat/completions with model orca/orcacyber-ultra-1.0 and your OrcaRouter API key. Any OpenAI SDK works by setting the base URL to OrcaRouter.

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Model card as data

GET /api/public/models/orca/orcacyber-ultra-1.0Open
Machine-readable:/llms.txt/llms-full.txt