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
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
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
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.
Related models
No related catalog models are recorded for this model family.