baichuan/baichuan-m2-32b

Name: baichuan/baichuan-m2-32b
Brand: Novita AI
SKU: novita/baichuan/baichuan-m2-32b
Price: 0.0700 USD
Availability: InStock

Novita AI/🇺🇸 US/chat

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-sourMore

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Which id to call

novita/baichuan/baichuan-m2-32b

This exact deployment on Novita AI, with no routing and no failover. Send it as the model field.

Input /1M

$0.07

Novita AI

Output /1M

$0.07

1.0x input

Context

131K

tokens

Added

Aug 2025

chat

Capabilities 0/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What baichuan/baichuan-m2-32b costs

Provider prices per 1M tokens, updated September 4, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$0.07

Output /1M

$0.07

Cache write /1M

Cache read /1M

What a workload costs

100K input + 10K output: $0.0077
1M input + 100K output: $0.0770
10M input + 1M output: $0.77

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to novita/baichuan/baichuan-m2-32b. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/baichuan/baichuan-m2-32b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window131K tokens

Max output-

API typechat

AddedAug 2025

Model id

Data retentionNone

Used for trainingNo

Served from🇺🇸 US

Privacy policyNovita AI Privacy Policy→

Public leaderboards

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

No benchmarks are published for this exact variant yet.

Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the Novita AI models overview.

Same provider

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Reference

baichuan/baichuan-m2-32b questions

How much does baichuan/baichuan-m2-32b cost?

baichuan/baichuan-m2-32b is priced at $0.07 per million input tokens and $0.07 per million output tokens when accessed via Requesty. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of baichuan/baichuan-m2-32b?

baichuan/baichuan-m2-32b has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.

What can baichuan/baichuan-m2-32b do?

baichuan/baichuan-m2-32b is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use baichuan/baichuan-m2-32b with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/baichuan/baichuan-m2-32b". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run baichuan/baichuan-m2-32b through Requesty?

Yes. baichuan/baichuan-m2-32b runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/baichuan/baichuan-m2-32b", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call baichuan/baichuan-m2-32b through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

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