Short answer
Baichuan-M2's license value is zero: it is open-weight under Apache-2.0. The real cost is hardware — and it fits on a single RTX 4090 at 4-bit. The company behind it, Baichuan AI (founded 2023 by Wang Xiaochuan, ex-Sogou), reached a ~US$3B valuation and pivoted to medical AI in 2025.
TL;DR
- Baichuan-M2: 32.76B parameters, medical reasoning, Apache-2.0 (commercial use allowed).
- HealthBench 60.1 / Hard 34.7 / Consensus 91.5 — above gpt-oss-120b (57.6) and DeepSeek-R1-0528 (53.6) per the official card.
- Runs 4-bit on one RTX 4090; MTP variant with +58.5% throughput.
- Trained with a "Large Verifier System": patient simulator + multi-dimensional verification.
- AIME24 83.4 — competitive general reasoning, not just medical.
- Paper: arXiv 2509.02208 (Sep 2025).
What is the model worth?
Two answers. License: nothing. Apache-2.0 allows commercial use, modification and self-hosting with no royalty — the same regime as IBM Granite Guardian, the engine behind g.cloud. Total cost: hardware. At ~65 GB in BF16 and official 4-bit support, M2 runs on a single 24 GB GPU — a clinic or a small healthtech can host its own medical model without a single patient record leaving for a third-party API.
What is the company worth?
Baichuan AI was born in 2023 as one of China's "AI tigers", founded by Wang Xiaochuan (creator of Sogou). It reached a ~US$3B valuation within its first year, backed by major Chinese technology and finance investors. In 2025 it made the move that sets it apart: a hard pivot to medical AI — first Baichuan-M1 (4B, permissive license, Jun 2025), then M2 (32B, Oct 2025), built on a mature open 32B base with massive medical continued-training.
What an open medical model still demands
A strong model is not a compliant one. In Brazil, CFM Resolution 2,314/2022 requires an identifiable physician for telemedicine; ANVISA's RDC 657/2022 regulates medical software as a product; and medical records are sensitive data (LGPD art. 11). A self-hosted M2 solves data sovereignty — but what stops it from issuing a diagnosis without a responsible physician? That is the layer g.cloud adds: the gate between model and human, with Brazilian rules codified and a public receipt for every interception.
FAQ
- Q: Is Baichuan-M2 free for commercial use?
- A: Yes. Apache-2.0: commercial use, modification and redistribution allowed, no royalty.
- Q: What is the minimum hardware?
- A: Officially one RTX 4090 (24 GB) at 4-bit quantization. BF16 (~65 GB) needs multiple GPUs.
- Q: Does it beat closed models on medicine?
- A: On the official HealthBench (60.1) it beats gpt-oss-120b and DeepSeek-R1-0528; Baichuan calls it "closest to GPT-5" among open medical models. Benchmarks are not clinical practice — hence the guardrail.
- Q: Can I use Baichuan-M2 with g.cloud?
- A: Yes. g.cloud is model-agnostic: OpenAI-compatible proxy, SDK or gateway plugin. M2 exposes a compatible API.
Key facts
- Baichuan-M2: 32.76B parameters, Apache-2.0, released 2025-08-10 (Hugging Face).
- HealthBench 60.1 · Hard 34.7 · Consensus 91.5 · AIME24 83.4 · Arena-Hard-v2 45.8.
- 4-bit inference on a single RTX 4090; MTP +58.5% throughput.
- Baichuan AI: founded 2023, ~US$3B valuation, medical pivot in 2025.
Sources
Learn more at https://g.cloud