Model Library/BaiChuan M2 32B
Baichuan

BaiChuan M2 32B

baichuan/baichuan-m2-32b
Baichuan-M2 is a medically-enhanced reasoning model specifically designed for real-world medical reasoning tasks. We begin with real-world medical questions and conduct reinforcement learning training based on a large-scale verifier system. While maintaining the model's general capabilities, the medical effectiveness of Baichuan-M2 has achieved breakthrough improvements. Baichuan-M2 is currently the world's best open-source medical model. On the HealthBench Benchmark, it surpasses all open-source models, including GPT-OSS-120B, as well as many cutting-edge closed-source models. It is the open-source model closest to GPT-5 in terms of medical capabilities. Our research demonstrates that a robust verifier is crucial for aligning model capabilities with real-world applications, and an end-to-end reinforcement learning approach fundamentally enhances the model's medical reasoning abilities. The release of Baichuan-M2 represents a significant advancement in the field of medical artificial intelligence, pushing t

Features

Serverless API

Docs

baichuan/baichuan-m2-32b is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

On-demand Deployments

Docs

On-demand deployments allow you to use baichuan/baichuan-m2-32b on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.

Available Serverless

Run queries immediately, pay only for usage

Input$0.07 / M Tokens
Output$0.07 / M Tokens

Use the following code examples to integrate with our API:

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="baichuan/baichuan-m2-32b",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

Info

Provider
Baichuan-inc
Quantization
fp8

Supported Functionality

Context Length
131072
Max Output
131072
Structured Output
Supported
Reasoning
Supported
Input Capabilities
text
Output Capabilities
text