
HiQuantum: the model that does the math
HiNow's calculation and science model: it actually solves, shows the steps and delivers the right number — from orbital mechanics to statistics over your spreadsheet.
Verifiable precision
It shows the steps and the intermediate values — you check them.
Data in any shape
Text, image or spreadsheet: paste it and ask.
From the calculation to the report
Structures the result as a scientific paper or as JSON.
The answers shown on this page are real model outputs, unedited and translated from the original Portuguese, with the exact prompt beside them. Click and run any of them again.
It does the math, not the estimate
Language models sound right very easily. Sounding right is not the same as being right — and in science, engineering and finance the difference between 5.596 and “roughly 6” is the difference between a mission that arrives and one that doesn't.
HiQuantum actually solves: it sets the problem up, runs every step and hands over the intermediate values for you to check. Below, orbital mechanics — the classic transfer calculation between Earth and Mars:
Calculate the total delta-v of a Hohmann transfer from Earth's orbit (1.000 AU) to Mars's (1.524 AU), with mu_Sun = 1.327e11 km3/s2 and 1 AU = 1.496e8 km. Answer EXACTLY in this format, one line per item, with no extra text: v circular Earth: X km/s v perihelion of the transfer: X km/s Δv1 (Earth departure): X km/s v circular Mars: X km/s v aphelion of the transfer: X km/s Δv2 (Mars arrival): X km/s Δv total: X km/s Time of flight: X days
v circular Earth: 29.783 km/s v perihelion of the transfer: 32.729 km/s Δv1 (Earth departure): 2.946 km/s v circular Mars: 24.126 km/s v aphelion of the transfer: 21.476 km/s Δv2 (Mars arrival): 2.650 km/s Δv total: 5.596 km/s Time of flight: 258.9 days
Paste the data, get the analysis
A table pasted into the conversation is enough. Through the platform, whole spreadsheets — CSV, XLSX — go in the same way, and the question can be the same one you'd put to an analyst.
Monthly production (units) and defect data from a line: jan 12450 62; feb 11980 54; mar 13210 71; apr 12800 58; may 14100 96; jun 13650 75 1) Defect rate per thousand for each month (1 decimal place). 2) Mean and sample standard deviation of the rate (2 decimals). 3) Is any month more than 2 deviations from the mean? Answer as a compact list, without a long explanation.
1) Rates per thousand: Jan=5.0, Feb=4.5, Mar=5.4, Apr=4.5, May=6.8, Jun=5.5 2) Mean=5.28, Sample standard deviation=0.86 3) No month is more than 2 deviations from the mean (range: 3.57 to 7.00).
That's its pattern: answer exactly what was asked, precisely, and flag what matters most in the data.
It reads the problem wherever it comes from
Not every problem arrives typed. A photo of the whiteboard from the meeting, a scanned chart from a paper, a screenshot of a table, a page from an old report — HiQuantum accepts images alongside the question and pulls the numbers it will work with out of them.

From the calculation to the scientific report
The result doesn't have to end in a chat reply. HiQuantum structures the work in the shape of a paper — abstract, methodology, results, discussion and references — ready to become the PDF that actually circulates: a technical report, a methodological note, a calculation appendix.
And for anyone integrating through the API, structured JSON output delivers the same numbers straight into your system, with no fragile parsing.
Where to use it
HiQuantum is in three places, on the same account and the same balance:
- In the chat — at chat.hinow.ai, pick HiQuantum from the model list and ask. Attach the photo or the spreadsheet along with it.
- On the platform — at platform.hinow.ai, with playground, history and usage tracking for the team.
- Through the API — to put dependable calculation inside your product, with structured output.
Technical details
How to call it
HiQuantum is exposed in the HiNow API under the id hinow/hiquantum, in the OpenAI-compatible format:
POST https://api.hinow.ai/v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
{
"model": "hinow/hiquantum",
"messages": [
{"role": "user", "content": "your question or problem here"}
],
"temperature": 0
}
For numerical work, use temperature: 0 — determinism matters more than variety. API keys are created at platform.hinow.ai/manage/api-keys.
Limits and capabilities
Context window
1,048,576 tokens (1M)
Maximum output
65,536 tokens
Inputs
text, images, tabular data
Structured output
JSON guaranteed by schema
Function calling
yes
Reasoning mode
enabled per call
Parameters
temperature
0 – 2
default 0.7
top_p
0 – 1
default 0.9
max_tokens
up to 65,536
The portrait of HiQuantum
Every model in this series was given a portrait drawn by HiMegia. HiQuantum's is a physics department blackboard — the place where the calculation is done, erased and redone until it's right.

Run your next calculation with it
HiQuantum is available in HiNow Chat, on the platform and through the API — same account, same balance across all three.


