Baichuan Inc
Chinese medical LLM weights from 7B to 235B plus the 百小医 AI family-doctor app and free 海纳百川 M3 Plus API
If your product speaks Chinese and touches clinical or patient-facing work, Baichuan is one of the few places you can get genuinely downloadable medical weights — a 235B M3 the vendor puts at 65.1 on HealthBench, a 32B M2 it says runs on one RTX 4090, plus a free evidence-augmented API for anyone serving clinicians. Don't come here for English-first or general-purpose reasoning, and read the 海纳百川 terms before you build a business on the free tier: the branding and use restrictions are real.
Verified 17h ago · liveness 68/100 · cite: rightaichoice.com/tools/baichuan-inc
- Chinese hospitals and health systems that need medical LLMs running on their own infrastructure
- Health-tech developers building Mandarin clinical or patient-facing tools
- Organizations serving medical professionals that qualify for the free 海纳百川 M3 Plus API
- Teams wanting a 32B-class medical reasoning model on a single RTX 4090
- English-first or general-purpose reasoning, coding and agent applications
- Products that need a ready-made library of third-party integrations
- Buyers who want to white-label the free medical API or train on its outputs
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Skip Baichuan if your users read English rather than Chinese, or if you need a plug-in SaaS product instead of model weights you host and operate yourself.
Running the 235B Baichuan-M3 weights yourself means GPU capacity you pay for — the license is free, the inference is not.
Baichuan's published pricing is unusually cheap at the entry points — the 百小医 consumer assistant and the 海纳百川 M3 Plus API are both listed at $0/mo, and the open weights are $0 with a commercial license — which puts it well below Western medical-AI vendors that charge per-seat or per-call for clinical decision support.
In short
Baichuan Inc — Chinese medical LLM weights from 7B to 235B plus the 百小医 AI family-doctor app and free 海纳百川 M3 Plus API. Best for Chinese hospitals and health systems that need medical LLMs running on their own infrastructure, Health-tech developers building Mandarin clinical or patient-facing tools, Organizations serving medical professionals that qualify for the free 海纳百川 M3 Plus API. Free to use.
No head-to-head comparison for Baichuan Inc yet — the alternatives below are the closest matches we list.
What's new in Baichuan Inc
Checked todayAcross the latest 1 update: 1 launch.
What people actually say about Baichuan Inc — is it worth it?
We scanned public community sources for Baichuan Inc on Sep 25, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Baichuan Inc. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Baichuan Inc? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- 百小医 consumer AI family-doctor assistant in Chinese (mobile app)
- Pre-visit symptom triage and appointment preparation
- Post-visit diagnosis and doctor's-orders explanation
- Household health profiles covering multiple family members
- Medication, re-visit and checkup reminders
- Baichuan-M3 open medical weights, 235B parameters, commercial use
- Baichuan-M3 scores 65.1 on HealthBench per the vendor
- Baichuan-M2 open reasoning model, 32B, deployable on a single RTX 4090
- Baichuan-M1, first medical-enhanced model at 14B, 20T medical corpus
- 32K context window on Baichuan-M1 and Baichuan-M2
- 4K context on Baichuan-7B/13B and Baichuan2-7B/13B
- Evidence-anchoring technique for citation grounding
- Free evidence-augmented Baichuan-M3 Plus API via the 海纳百川 program
- Open-sourced intermediate Baichuan2 checkpoints (200B-2640B data range)
- On-premise deployment of open-weight models
About Baichuan Inc
Baichuan Inc (百川智能) builds Chinese medical large language models, founded 24 March 2023 by ex-Sogou CEO Wang Xiaochuan. Its identity today is medical on both ends of the market: a consumer AI family-doctor app in Mandarin, and a ladder of open commercial-weight models a hospital or health-tech team can download and run on its own iron. On the consumer side 百小医 acts as an AI family doctor. It helps you sort symptoms and prepare for a visit beforehand, then interprets the diagnosis, the doctor's orders and the follow-up plan afterwards, and it keeps health records, medication, re-visit and checkup reminders for every family member. The vendor markets it on four claims: medical competence grounded in authoritative knowledge, plain-language explanations of jargon, unlimited follow-up questions, and whole-family memory. The developer story is open weights. Baichuan-M3 is the 235B-parameter medical model the company says scores 65.1 on HealthBench with strong reasoning, low hallucination and clinical questioning ability; Baichuan-M2 is a 32B reasoning model with a 32K context window that the company says runs on a single RTX 4090; Baichuan-M1 is the first medical-enhanced model at 14B, trained on a 20T medical corpus. Below sit Baichuan2-13B and Baichuan2-7B (2.6T multilingual corpus, 4K) and Baichuan-7B/13B (bilingual, low-cost). Baichuan also open-sources intermediate Baichuan2 checkpoints across the 200B-to-2640B data range, and the benchmark chart now lists a Baichuan-M4 generation above M3. The 海纳百川 program gives organizations serving medical professionals permanent free access to the evidence-augmented Baichuan-M3 Plus API, claiming 95% precise matching between outputs and evidence passages via 'evidence anchoring'. The terms are strict: clinical decision support and medical education only, real service scenarios only, no data production, no accuracy-affecting modifications, and the product must display 'Powered by 百川'. This is not a frontier English-lab general
Behind the Verdict
The honest framing: Baichuan is a medical-first Chinese lab, and almost every question about it turns into 'does that match my problem?' We'd reach for it when the answer is yes — a hospital or health-tech team shipping Mandarin clinical or patient-facing software, a regulated buyer who needs the model on premise, or a researcher who wants intermediate checkpoints and not just a final artifact. Few vendors anywhere publish open medical weights across a 7B-to-235B span, and the 32B M2 that the company says fits on one RTX 4090 is the practical entry point for teams without a GPU cluster. The 海纳百川 offer deserves a hard look rather than a shrug. A permanently free, evidence-augmented API with claimed 95% output-to-evidence matching removes the biggest cost of a medical pilot. But the strings are explicit: clinical decision support and medical education only, real service scenarios, no data production, no accuracy-affecting edits, and 'Powered by 百川' must be visible. If any of that collides with your roadmap, price it out as a commercial license instead. Pass on Baichuan if your users type in English or your workload is general reasoning, coding or agentic tooling — that is not the axis this vendor optimizes. Pass too if you need a marketplace of ready-made connectors; the open-weight route means you operate inference and data pipelines yourself, and no integration library is documented. One caveat on freshness: the benchmark chart on the site now lists Baichuan-M4 above M3, so a newer medical generation is clearly in play, but Baichuan has not published its parameters, scores or licensing here. Treat M4 as a signal, not a spec, until the technical blog lands. Versus the Qwen and DeepSeek open-weight families, Baichuan gives up breadth to win on Chinese medical
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Real-world workflow fit
Concrete scenarios for the personas Baichuan Inc actually fits — and what changes day-one when you adopt it.
Downloads Baichuan-M2 32B weights, deploys them on a single RTX 4090 inside the hospital network, and wires them to an internal clinician-facing summarization tool so no patient text leaves the building.
Outcome: A working on-premise medical reasoning endpoint at 32K context without a per-call API bill or a data-export review.
Applies to the 海纳百川 program, gets free access to the evidence-augmented Baichuan-M3 Plus API, and builds a report-explanation feature that displays 'Powered by 百川'.
Outcome: Clinical decision support shipped on a free low-hallucination base model, with attribution and use-scope restrictions accepted as the price.
Enters a parent's symptoms before an appointment, gets a question list to bring to the doctor, then photographs the prescription afterwards for a plain-language explanation and sets medication reminders.
Outcome: The visit is prepared for and the instructions are understood, with the whole family's records, reminders and checkup dates kept in one place.
Use Cases
- Triage a symptom set in Chinese and prepare questions before an appointment
- Explain a Chinese discharge summary or prescription to a family member in plain language
- Track medication and follow-up schedules for an elderly parent
- Build a Chinese-language patient education tool on local Baichuan weights
- Run an on-premise medical reasoning model for a hospital that cannot use foreign APIs
- Serve clinicians with evidence-anchored decision support via the free M3 Plus API
- Fine-tune a medical model for a specialized Chinese clinical department
- Research LLM training dynamics using the published Baichuan2 intermediate checkpoints
Models Under the Hood
as of 2026-08-30
Limitations
- The whole product is Chinese-first, so English-language clinical work will get less from it than from a Western frontier lab.
- The 海纳百川 free API comes with real restrictions rather than being an unrestricted gift: clinical decision support and medical education only, no use for data production, no output modifications that affect accuracy, and a visible 'Powered by 百川' attribution requirement.
- The older Baichuan2-7B/13B and Baichuan-7B/13B models run a 4K context window, so they are deployment-cheap but not the medically-enhanced generation.
- Open weights only pay off if you have hardware to run them; Baichuan does not document a broad connector ecosystem for the consumer app.
as of 2026-09-29
Verification history
We have re-verified Baichuan Inc 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
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Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Baichuan Inc tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
百小医 Consumer Assistant
$0/mo
Ideal for
Chinese-speaking individuals and families who want everyday health guidance, visit preparation and household health records without paying for software.
What this tier adds
Free entry point — the consumer app itself, covering symptom triage, post-visit explanation and family profiles at no cost.
海纳百川 Baichuan-M3 Plus API
$0/mo
Ideal for
Hospitals, clinics, medical educators and health-tech teams whose product serves medical professionals, rather than developers building general apps.
What this tier adds
Adds free API access to the evidence-augmented M3 Plus base model — but only for clinical decision support and medical education, with 'Powered by 百川' attribution required.
Open-Source Model Weights
$0 (commercial use)
Ideal for
Developers and researchers who want to host medical models themselves, from a 14B model on modest hardware up to the 235B Baichuan-M3.
What this tier adds
Adds downloadable weights under a commercial license — the M1/M2/M3 medical ladder plus the older Baichuan2 and Baichuan-7B/13B models and Baichuan2 intermediate checkpoints.
Enterprise
Custom
Ideal for
Regulated buyers such as hospitals needing on-premise deployment, plus companies that want a model fine-tuned on their own clinical data.
What this tier adds
Adds fine-tuning, dedicated deployment, on-premise installation and custom commercial licensing, quoted individually rather than at a list price.
Where the pricing makes sense
The company stage and team size where Baichuan Inc's pricing actually pencils out — and where peers do it cheaper.
Baichuan's published pricing is unusually cheap at the entry points — the 百小医 consumer assistant and the 海纳百川 M3 Plus API are both listed at $0/mo, and the open weights are $0 with a commercial license — which puts it well below Western medical-AI vendors that charge per-seat or per-call for clinical decision support.
Setup time & first value
How long it actually takes to get something useful out of Baichuan Inc — broken out by persona, not the marketing-page minute.
For a developer, downloading and serving Baichuan-M2 32B on a single RTX 4090 is an afternoon of work; Baichuan-M3 at 235B needs real GPU capacity and days, not hours. For the 海纳百川 API there is an application and approval step before you get keys, so plan for review time rather than instant access. For a hospital rolling out on-premise, expect a procurement and licensing cycle before anything is
Switching to or from Baichuan Inc
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a foreign medical API: move to on-premise Baichuan weights when patient data cannot leave your network.
- →From a general Chinese LLM: swap in Baichuan-M1 or M2 when you need medical-specific tuning and open weights.
- →From GPT-4o-class hosted inference: rehost on Baichuan-M2 32B to cut per-call cost for high-volume Chinese medical text.
- →From an earlier Baichuan-7B/13B deployment: step up to the M-series for 32K context and medical enhancement.
- ↗To Llama or another open model family: if your workload is general rather than Chinese medical, the medical specialization stops paying off.
- ↗To a Western frontier API: if your users read English or you need broad general reasoning.
- ↗To a managed clinical documentation vendor: if you want a finished product instead of weights to operate.
Resources & Guides
Tutorials & Learning
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Official links
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