Baichuan M2 32B
baichuan-m2-32b
Last refreshed 2026-05-22. Next refresh: weekly.
Baichuan M2 32B is worth evaluating for long context when its provider route and context window match the workload.
Decision context: Long context task fit, 1 tracked provider route, and research from 2026-05-22.
Use it for
- Teams evaluating long context
- Workloads that can use a 131K context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
$0.070
Novita AI per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-22
Researched today
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Novita AI | $0.070 | $0.070 | Serverless |
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Baichuan M2 32B is Baichuan AI's second medical-enhanced reasoning model, built upon Qwen2.5-32B with an innovative Large Verifier System. Trained via multi-stage reinforcement learning with improved GRPO for real-world medical reasoning tasks including diagnosis, treatment planning, and clinical Q&A. Outperforms all open-source models and most closed-source counterparts on HealthBench. Released with arXiv paper 2509.02208.
Baichuan M2 32B has a 128K-token context window.
Baichuan M2 32B input tokens at $0.07/1M, output at $0.07/1M.
