Baichuan: Baichuan M2 32B

Open medical model trained for clinical reasoning and patient interaction with on, off, and auto thinking modes

Model lab: Baichuan
Model family: baichuan

Model resources

Hugging Face

Modalitiestext → text

Context window131,072

Maximum output131,072

InputUSD 0.056 / 1M tokens

OutputUSD 0.056 / 1M tokens

Try now

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to baichuan/baichuan-m2-32b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "baichuan/baichuan-m2-32b"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Baichuan M2 32B API Pricing

Type	Price information
Input	USD 0.056 / 1M tokens
Output	USD 0.056 / 1M tokens

Performance

Performance trends

Throughput90.4 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency7.0 sCurrent

Throughput

Current90.4 tok/s

Window average89.6 tok/s

Time to first token

Current1.3 s

Window average1.4 s

End-to-end latency

Current7.0 s

Window average7.5 s

Tail latency (P99)

Current15.9 s

Window average16.1 s

Prompt cache hit rate

Current26.4%

Window average23.7%

Error rate

Current0.0%

Window average0.2%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Baichuan M2 32B Compare models

Model	Input price	Output price	Context window	Capabilities
Baichuan M2 32BThis page	USD 0.056 / 1M tokens	USD 0.056 / 1M tokens	131,072	Text output · Reasoning
Beam 1.0 501B A23B	USD 0.2 / 1M tokens	USD 0.8 / 1M tokens	1,048,576	Text output · Reasoning · Tool calling
Ling 3.1 Flash	USD 0.06 / 1M tokens	USD 0.176 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Schematron V2 Small	USD 0.04 / 1M tokens	USD 0.184 / 1M tokens	128,000	Text output
Schematron V2 Turbo	USD 0.024 / 1M tokens	USD 0.12 / 1M tokens	128,000	Text output

Model specifications

Input: text
Output: text
Context window: 131,072
Maximum output: 131,072
Release date: 2025-08-13
Attachments: No
Reasoning: Yes
Tool calling: No
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Baichuan M2 32B for?

Open medical model trained for clinical reasoning and patient interaction with on, off, and auto thinking modes

What inputs and outputs does Baichuan M2 32B support?

Recorded inputs: text; outputs: text.

How is Baichuan M2 32B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.056 / 1M tokens; Output USD 0.056 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Baichuan M2 32B?

Current model records list Context window 131,072 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses baichuan/baichuan-m2-32b. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.