heabsy · Frontier
CyberHeabsy
A low-refusal text model for authorized security research, roleplay, and creative writing. It preserves tool calling after refusal removal, supports optional reasoning, and has a 1M-token context window.
- Reasoning
- Tools
- Input
- Text
- Output
- Text
- Reasoning effort
- none · low · medium · high
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $1.50
- Output
- $4.50
- Cache read
- $0.28
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Average output (7 days)
- 1.3K tokens
- Longer than 81% of 473 models
Side by side
CyberHeabsy compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| CyberHeabsyheabsyThis model | GPT 5.3 CodexOpenAIRemove | |
|---|---|---|
| Provider | heabsy | OpenAI |
| Discovery tier | Frontier | Frontier |
| Added | Sep 27, 2026 | Feb 24, 2026 |
| Limits | ||
| Context window | 1.05MBest | 400K |
| Max output | 65.54K | 128KBest |
| Average output | 1.3K tokens | 281 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.50Best | $1.75 |
| Output | $4.50Best | $14.00 |
| Cache read | $0.28 | $0.18Best |
| Performance | ||
| Throughput | 63.5 tok/s | — |
| Time to first token | 0.9 s | — |
| Request success (24h) | 99.1%Best | 98.4% |
| Benchmark indexes | ||
| Intelligence Index | — | 32.5 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| PDF input | No | Yes |
| Reasoning effort | none, low, medium, high | low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- CyberHeabsy
- GPT 5.3 Codex
Intelligence Index
- CyberHeabsy—
- GPT 5.3 Codex32.5
Agentic work
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- CyberHeabsy: —
- GPT 5.3 Codex: 868 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- CyberHeabsy: —
- GPT 5.3 Codex: 83.3%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- CyberHeabsy: —
- GPT 5.3 Codex: 42.5%
GPQA Diamond
Graduate-level science questions
- CyberHeabsy: —
- GPT 5.3 Codex: 91.5%
IFBench
Following precise output instructions
- CyberHeabsy: —
- GPT 5.3 Codex: 75.4%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- CyberHeabsy: —
- GPT 5.3 Codex: 53.0%
τ²-Bench Telecom
Tool use in a customer-support simulation
- CyberHeabsy: —
- GPT 5.3 Codex: 86.0%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- CyberHeabsy: —
- GPT 5.3 Codex: 83.3%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 63.5 tok/s
- Faster than 42% of 257 models
- Time to first token
- 0.9 s
- Quicker than 96% of 257 models
- Prompt cache hits
- 8.3%
- About $1.40 per 1M input tokens with caching
- Request success (24h)
- 99.1%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "heabsy/cyberheabsy",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="heabsy/cyberheabsy",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)heabsy
Related models
Other heabsy models, starting with the same family.
- BalancedCompare