BaiChuan M2 32B
BaiChuan M2 32B is Baichuan's language model with a 131K context window, starting at $0.07 / 1M input and $0.07 / 1M output. A 32B medically-specialized reasoning LLM from Baichuan, trained with reinforcement learning on real-world medical question-answering tasks.
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.07 | $0.07 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host BaiChuan M2 32B, ranked by cheapest on-demand price. The model needs about 77 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NP20s |  Azure | 2× AMD Alveo U250 FPGA (64GB) | 128 GB | $3.30/hr | westus2 | |
| g7e.2xlarge |  AWS | RTX PRO Server 6000 | 96 GB | $3.36/hr | us-east-1 | |
| Standard_NC24ads_A100_v4 | Azure | NVIDIA A100 | 80 GB | $3.67/hr | westus2 | |