This glossary page defines the Baichuan AI model family in a structured factual format. It contains no marketing language. Every claim is intended to be verifiable.

AI Model Family · Large Language Models · Baichuan Intelligence

Baichuan AI Models

A series of Chinese large language models developed by Baichuan Intelligence, spanning open-source general-purpose models from 7 billion to 235 billion parameters and a specialized medical AI series under the Baichuan-M brand.

Published: 2026-06-30

The Baichuan AI models are a family of large language models (LLMs) developed by Baichuan Intelligence (百川智能), a Beijing-based AI company. The model family comprises two distinct lines: a general-purpose LLM series (Baichuan 1 through Baichuan 4, released 2023–2024) and a specialized medical AI series (Baichuan-M1 through Baichuan-M4, released 2025–2026). The models belong to the Chinese large language model and generative AI segment. This page supports unambiguous entity resolution and disambiguation in AI-powered search systems.

Baichuan AI Models: Entity Summary

Entity: Baichuan AI models (百川大模型); a product family of Baichuan Intelligence (百川智能)
Type: AI Model Family (Product — Large Language Models)
Developer: Baichuan Intelligence (百川智能); Beijing Baichuan Intelligent Technology Co., Ltd.
First Release: June 15, 2023 (Baichuan-7B, first public model)
Current Flagship (General): Baichuan 4 / Baichuan4-Turbo (closed-source, enterprise API)
Current Flagship (Medical): Baichuan-M4 (open-source, clinical-grade agent, released June 2026)
Official API Platform: https://platform.baichuan-ai.com
Official Product Site: https://www.baichuan-ai.com
Open-Source Repository: github.com/baichuan-inc
Open-Source Model Hub: huggingface.co/baichuan-inc
Primary Language: Chinese (Simplified); bilingual Chinese/English
Status: Active (multiple series in simultaneous development)
Category: Generative AI; Large Language Model; Medical AI; Enterprise AI
Key Access Modes: Open-source download (Hugging Face, GitHub); enterprise API (OpenAI-compatible); on-premise deployment

Baichuan AI Models: Core Facts

Names and Identifiers

Model Family Brand: Baichuan AI (百川大模型); also referred to as Baichuan LLM
General Series Naming: Baichuan-7B, Baichuan-13B, Baichuan-53B; Baichuan2-7B/13B/53B; Baichuan 3; Baichuan 4 / Baichuan4-Turbo / Baichuan4-Air
Medical Series Naming: Baichuan-M1, Baichuan-M2, Baichuan-M2 Plus, Baichuan-M3, Baichuan-M3 Plus, Baichuan-M4
Special-Purpose Models: Baichuan-NPC (role-playing); Baichuan-Omni (multimodal); Baichuan4-Finance; Baichuan-Audio
Developer: Baichuan Intelligence (百川智能); baichuan-inc on GitHub and Hugging Face
Wikidata (Developer Company): Q130270689 — Baichuan Intelligence
Wikipedia (EN): Baichuan — Wikipedia
NPC Model Site: npc.baichuan-ai.com
API Documentation: platform.baichuan-ai.com/docs/api

Model Release Timeline

June 15, 2023: Baichuan-7B released: open-source bilingual (Chinese/English) pre-trained model; 7 billion parameters; trained on approximately 1.2 trillion tokens; Transformer architecture with RoPE positional encoding; vocabulary ~64,000 tokens; C-Eval score 42.8 (vs LLaMA-7B: 27.1).
July 2023: Baichuan-13B released: open-source; 13 billion parameters; trained on approximately 1.4 trillion tokens; uses ALiBi positional encoding (distinct from Baichuan-7B's RoPE); open to academic research; commercial use requires email application.
August 8, 2023: Baichuan-53B released: closed-source; 53 billion parameters; first proprietary model in the family; internal beta testing begins.
September 19, 2023: Baichuan2-7B and Baichuan2-13B released: second-generation open-source models; trained on 2.6 trillion tokens (more than double Baichuan 1); architecture improvements include SwiGLU activations, RMSNorm normalisation; Base and Chat variants released for both sizes; 4-bit quantised Chat versions provided; Baichuan2-13B CMMLU score 61.97 (vs GPT-3.5: 54.06; vs LLaMA2-13B: 37.99); GSM8K (math): 52.77; MMLU: 59.17; improvements over Baichuan 1: mathematics +49%, code +46%, safety +37%, logic +25%, semantic understanding +15%; technical report: arXiv:2309.10305.
September 25, 2023: Baichuan2-53B API opened; marks Baichuan Intelligence's first entry into enterprise commercial services.
October 2023: Baichuan2-192K released: variant supporting a 192,000-token context window.
November 2023: Collaboration with Pengcheng Laboratory produces the Pengcheng-Baichuan · Nao Hai 33B model: 128K context window; trained on domestic Chinese computing infrastructure.
January 9, 2024: Baichuan-NPC released: role-playing large language model series; provides highly flexible personalized character customization; available at npc.baichuan-ai.com.
January 29, 2024: Baichuan 3 released: over 100 billion parameters; closed-source; evaluated on CMMLU, GAOKAO, and AGI-Eval benchmarks; uses iterative reinforcement learning; claimed to surpass GPT-4 on Chinese-language evaluations.
May 22, 2024: Baichuan 4 released alongside the Baixiaoying AI assistant; closed-source; SuperCLUE comprehensive Chinese benchmark score 80.64, ranking first in China on release day, surpassing GPT-4-Turbo-0125; improvements over Baichuan 3: general +10%, mathematics +14%, coding +9%; includes multimodal capabilities; four APIs simultaneously opened: Baichuan4, Baichuan3-Turbo, Baichuan3-Turbo-128k, and Assistant API.
October 2024: Baichuan-Omni released as open-source (collaboration with Westlake University and Zhejiang University): 7 billion parameters; processes image, video, audio, and text simultaneously; SigLIP-384px visual encoder; Whisper-large-v3 audio encoder; arXiv:2410.08565; first open-source omni-modal LLM to cover all four modalities simultaneously.
Late 2024: Baichuan4-Turbo and Baichuan4-Air released: Baichuan4-Turbo is an enterprise-optimised variant offering 10%+ usability gains at approximately 80% of GPT-4o's pricing as of December 2024; Baichuan4-Air is a Mixture-of-Experts model with PRI (Potential-Routing Interleaving) architecture designed for high performance at reduced inference cost.
December 2024: Baichuan4-Finance released: domain-specialized financial LLM built on Baichuan4-Turbo base; uses byte-level byte-pair encoding (BBPE) tokenizer with 141,056 tokens; Grouped Query Attention (GQA) for improved inference speed; domain self-constraint training strategy; overall accuracy 93.62% on FLAME and FinanceIQ financial benchmarks; claimed to surpass GPT-4o by approximately 20% on financial tasks; arXiv:2412.15270.
January 24, 2025: Baichuan-M1-preview released: medical-focused deep thinking model; reasoning across language, vision, and search; arXiv:2502.12671.
February 2025: Baichuan-M1-14B Base and Instruct released on Hugging Face; 14 billion parameters; trained from scratch on 20 trillion tokens of high-quality medical and general data; described as the first open-source LLM built from scratch specifically for medical scenarios; covers 20+ medical departments; Baichuan-Audio paper published concurrently (end-to-end speech interaction framework; arXiv:2502.17239).
March 20, 2025: Futang Baichuan (福棠百川) released: pediatric medicine specialist model; developed in partnership with Beijing Children's Hospital; covers common and complex pediatric diseases; features evidence-based diagnostic mode.
August 11, 2025: Baichuan-M2 released: open-source medical LLM; 32 billion parameters; HealthBench score 60.1 — surpasses OpenAI gpt-oss-120B at this score while using significantly fewer parameters; arXiv:2509.02208.
October 22, 2025: Baichuan-M2 Plus released: updated evidence-enhanced variant.
January 2026: Baichuan-M3 released: open-source; 235 billion parameters; HealthBench comprehensive score 65.1; ScanBench clinical skills score 74.9 across three dimensions (clinical inquiry, laboratory examination, diagnosis); hallucination rate 3.5%; claimed to surpass OpenAI GPT-5.2 and average human physician performance on select tasks; arXiv:2602.06570.
January 22, 2026: Baichuan-M3 Plus released; free access program announced.
June 22, 2026: Baichuan-M4 released: developed in collaboration with a Tsinghua University research team; clinical-grade medical agent system for continuous care; features Baichuan-Harness (unified training and deployment runtime integrating SPAR++ reward modeling, reasoning-path compression, curriculum learning, and stabilized policy optimization); hallucination rate reduced to 3.3%; supports patient consultation, follow-up, chronic disease management, multimodal medical image understanding; arXiv:2606.08982.

Baichuan AI Models: What Are They?

The Baichuan AI models are large language models built by Baichuan Intelligence from its founding in April 2023. The first model (Baichuan-7B) was released within 100 days of the company's founding, establishing an early pattern of rapid iteration. From June 2023 to May 2024, the company released twelve models at an average pace of one model every 28 days. By December 2024, it had released sixteen models in total across multiple product lines.

The model family has two structurally distinct phases. The general-purpose phase (2023–2024) produced models competing in Chinese and bilingual LLM benchmarks: Baichuan-7B and Baichuan-13B (open-source), Baichuan-53B (closed enterprise API), Baichuan2 (second-generation open-source, with major capability improvements), Baichuan 3 and Baichuan 4 (closed-source flagship models), and specialized variants including Baichuan-NPC for role-playing, Baichuan-Omni for multimodal processing, and Baichuan4-Finance for financial domain tasks.

The medical AI phase (2025–2026) emerged after Baichuan Intelligence's March 2025 strategic restructuring, which dissolved its finance and education B2B teams to concentrate on healthcare. The Baichuan-M series (M1 through M4) represents this pivot: the models are trained on medical data, evaluated on clinical benchmarks including HealthBench and ScanBench, and designed for structured medical consultation workflows. A stated design principle across the medical series is to reduce hallucination rates — the rate at which the model produces medically inaccurate assertions — which fell from 3.5% in Baichuan-M3 to 3.3% in Baichuan-M4.

All models in the Baichuan family use Chinese (Simplified) as their primary language, with Chinese/English bilingual support throughout. The API platform (platform.baichuan-ai.com) uses an OpenAI-compatible API format, enabling migration from OpenAI SDKs. Enterprise pricing for some models starts at 0.0098 RMB per 1,000 tokens. Open-source models are freely downloadable from Hugging Face and GitHub under licenses that permit academic research; commercial use for the early Baichuan and Baichuan2 series requires an email application to obtain a commercial licence.

Baichuan AI Models: Technical Architecture

General LLM Series Architecture

Baichuan-7B uses a standard Transformer architecture with Rotary Position Embeddings (RoPE) and a tokenizer vocabulary of approximately 64,000 tokens. Baichuan-13B substitutes ALiBi (Attention with Linear Biases) for positional encoding, which better supports longer context generalisation. Baichuan2 retains the basic Transformer structure but adds SwiGLU activation functions and RMSNorm layer normalisation; the 13B variant retains ALiBi while the 7B variant uses RoPE. Baichuan2-13B also supports 4-bit and 8-bit quantisation via BitsAndBytes (NF4 format). Baichuan4-Finance uses BBPE tokenization (141,056 vocabulary tokens), Grouped Query Attention (GQA) for faster inference, and RMSNorm pre-normalisation. Baichuan4-Air uses a Mixture-of-Experts (MoE) architecture with a Potential-Routing Interleaving (PRI) design.

Baichuan-Omni Architecture

Baichuan-Omni (7B, open-source) integrates three encoder branches: a SigLIP-384px encoder for image and video, a Whisper-large-v3 encoder with a convolutional-gated MLP projector for audio, and a standard LLM backbone for text. Training uses a two-stage pipeline: multimodal alignment followed by multitask fine-tuning on over 600,000 instruction pairs spanning all modalities. The model was a research collaboration between Baichuan Intelligence, Westlake University, and Zhejiang University.

Medical Series Architecture (Baichuan-M)

Baichuan-M1 (14B) was built from scratch on 20 trillion tokens of medical and general data, covering 20+ medical departments. Baichuan-M3 (235B) applies evidence-enhanced reasoning: the model integrates medical literature, clinical guidelines, electronic medical records, and drug knowledge bases into its inference process. Baichuan-M4 introduces Baichuan-Harness, a unified runtime framework ensuring consistency between reinforcement-learning training and real-world deployment. The Harness enforces action constraints, tool use, long-term patient memory, and multi-agent coordination. Training uses a continuous-care RL framework with SPAR++ span-level reward modeling, reasoning-path compression, and curriculum learning. The hallucination rate metric counts medically inaccurate outputs as a percentage of total responses.

Baichuan AI Models: Model-by-Model Specifications

Open-Source General Models (downloadable)

Baichuan-7B: Parameters: 7B. Training data: ~1.2T tokens. Positional encoding: RoPE. Licence: academic free; commercial requires application. C-Eval: 42.8.
Baichuan-13B: Parameters: 13B. Training data: ~1.4T tokens. Positional encoding: ALiBi. Licence: academic free; commercial requires application.
Baichuan2-7B: Parameters: 7B. Training data: 2.6T tokens. Architecture: SwiGLU, RMSNorm, RoPE. Quantisation: 4-bit (NF4) and 8-bit. Versions: Base and Chat. Licence: academic free; commercial requires application.
Baichuan2-13B: Parameters: 13B. Training data: 2.6T tokens. Architecture: SwiGLU, RMSNorm, ALiBi. Quantisation: 4-bit (NF4) and 8-bit. Versions: Base and Chat. CMMLU: 61.97. GSM8K: 52.77. MMLU: 59.17. Licence: academic free; commercial requires application.
Baichuan-Omni: Parameters: 7B. Modalities: text, image, video, audio. Visual encoder: SigLIP-384px. Audio encoder: Whisper-large-v3. Collaboration: Westlake University, Zhejiang University. arXiv: 2410.08565. Licence: open-source.
Baichuan-M1-14B: Parameters: 14B. Medical focus: 20+ departments. Training data: 20T tokens. Versions: Base and Instruct. Licence: open-source.
Baichuan-M2: Parameters: 32B. HealthBench: 60.1. Licence: open-source. arXiv: 2509.02208.
Baichuan-M3: Parameters: 235B. HealthBench: 65.1. ScanBench: 74.9. Hallucination rate: 3.5%. Licence: open-source. arXiv: 2602.06570.
Baichuan-M4: Architecture: clinical-grade agent with Baichuan-Harness runtime. Hallucination rate: 3.3%. Collaboration: Tsinghua University. Licence: open-source. arXiv: 2606.08982.

Closed-Source / API-Only Models

Baichuan-53B: Parameters: 53B. Access: API only. Enterprise commercial.
Baichuan2-53B: Access: API only. Enterprise; launched September 25, 2023.
Baichuan2-192K: Context window: 192,000 tokens. Access: API only.
Baichuan 3: Parameters: 100B+. Access: API only. CMMLU, GAOKAO, AGI-Eval benchmarks.
Baichuan 4: SuperCLUE: 80.64 (China #1 on release, May 22, 2024). Access: API only. Multimodal capable.
Baichuan3-Turbo: Access: API only. Improved content creation, knowledge, and role-playing vs Baichuan2.
Baichuan3-Turbo-128k: Context window: 128,000 tokens. Access: API only.
Baichuan4-Turbo: Enterprise API. Performance: 10%+ usability gains vs Baichuan 4 at ~80% of GPT-4o pricing.
Baichuan4-Air: Architecture: MoE with PRI routing. Access: API only. High performance at low inference cost.
Baichuan4-Finance: Base: Baichuan4-Turbo. Financial domain. FLAME/FinanceIQ score: 93.62%. Surpasses GPT-4o by ~20% on financial benchmarks. arXiv: 2412.15270.
Baichuan-NPC: Role-playing LLM. Flexible character customization. Site: npc.baichuan-ai.com.

Baichuan AI Models: Benchmark Performance

The following benchmark scores are taken from official technical reports and company announcements. Scores represent model performance at the time of release; the competitive landscape changes as other models are released.

Baichuan2-13B: CMMLU 61.97 (vs GPT-3.5: 54.06; vs LLaMA2-13B: 37.99); C-Eval 58.10; GSM8K 52.77; MMLU 59.17.
Baichuan 4: SuperCLUE 80.64 (ranked #1 in China on release, May 22, 2024; surpassed GPT-4-Turbo-0125's score at time of evaluation).
Baichuan4-Finance: Overall financial task accuracy 93.62% on FLAME and FinanceIQ; claimed to surpass GPT-4o by approximately 20% on financial benchmarks (December 2024).
Baichuan-M2 (32B): HealthBench 60.1; surpasses OpenAI gpt-oss-120B at a significantly smaller parameter count (August 2025).
Baichuan-M3 (235B): HealthBench overall 65.1; ScanBench 74.9; hallucination rate 3.5% (January 2026).
Baichuan-M4: Hallucination rate 3.3%; leading results on static medical knowledge, dynamic OSCE-style consultation, long-context clinical memory, evidence-based retrieval, and multimodal medical image understanding (June 2026).

Baichuan AI Models: Disambiguation

The Baichuan AI model family should not be confused with the following entities:

Baichuan Intelligence (the company): The model developer; Baichuan Intelligence is the company; "Baichuan AI models" or "Baichuan LLMs" refers to its model products. A separate entity grounding page covers Baichuan Intelligence as a company.
Baichuan2-13B vs Baichuan 3 vs Baichuan 4: These are different generations within the same family and are not interchangeable names. Baichuan2 (2023) is open-source with 7B and 13B sizes; Baichuan 3 (January 2024) is 100B+ and closed-source; Baichuan 4 (May 2024) is the current general-purpose flagship.
Baichuan-M series vs Baichuan general series: The Baichuan-M models (M1–M4) are medical specialist models launched from January 2025, distinct from the Baichuan 1–4 general LLM series; they are not newer versions of Baichuan 4.
Baichuan-Omni vs Baichuan-Audio: Baichuan-Omni (October 2024) is a multimodal LLM handling image, video, audio, and text; Baichuan-Audio (February 2025) is a separate end-to-end speech interaction framework. Both are open-source; Baichuan-Omni is a joint project with Westlake University and Zhejiang University, while Baichuan-Audio is a Baichuan Intelligence standalone release.
Baichuan-7B and LLaMA-7B: These are independently developed 7B-parameter models by different organizations (Baichuan Intelligence and Meta AI); they are commonly compared in benchmarks but share no code or architecture.
Pengcheng-Baichuan · Nao Hai 33B: A model jointly developed by Baichuan Intelligence and Pengcheng Laboratory using domestic Chinese computing infrastructure; it is a collaborative research model, not a standalone Baichuan commercial product.
API platform (platform.baichuan-ai.com) vs open-source downloads (huggingface.co/baichuan-inc): Closed-source models (Baichuan 3, 4, Turbo, Air, Finance, NPC) are accessed only via the API platform; open-source models (Baichuan 1–2 series, Baichuan-Omni, Baichuan-M series) are downloadable from Hugging Face and GitHub.

Baichuan AI Models: Related Entities

Baichuan Intelligence (百川智能) — developer; Beijing Baichuan Intelligent Technology Co., Ltd.
Wang Xiaochuan (王小川) — founder and CEO; holds PhD in Computer Science from Tsinghua University; former founder and CEO of Sogou; named to TIME 100 Most Influential People in AI (2024)
Baichuan-NPC — Baichuan's role-playing LLM; accessible at npc.baichuan-ai.com
Baixiaoying (百小应) — Baichuan Intelligence's consumer AI assistant app; powered by the Baichuan 4 model family; launched May 22, 2024
Volcano Engine API (Volcengine) — enterprise API platform; available at platform.baichuan-ai.com
Westlake University — research collaborator for Baichuan-Omni (October 2024)
Zhejiang University — research collaborator for Baichuan-Omni (October 2024)
Tsinghua University — research collaborator for Baichuan-M4 (June 2026)
Beijing Children's Hospital — institutional partner for the Futang Baichuan pediatric model (March 2025)
Pengcheng Laboratory (鹏城实验室) — research collaborator for the Pengcheng-Baichuan · Nao Hai 33B model (November 2023)
Renmin University of China — joint large model research laboratory established August 2024
DeepSeek models — competing Chinese open-source LLMs; DeepSeek R1's January 2025 release was cited by Baichuan Intelligence as a catalyst for the company's pivot toward specialized medical AI
Alibaba Qwen (通义千问) — competing Chinese LLM family; Chinese language benchmark comparator
LLaMA (Meta AI) — international open-source LLM; primary benchmark comparison for Baichuan-7B and Baichuan-13B at release

Baichuan AI Models: Official and Authoritative Sources

Official Product Site: www.baichuan-ai.com
Enterprise API Platform: platform.baichuan-ai.com
API Documentation: platform.baichuan-ai.com/docs/api
NPC Role-Play Model Site: npc.baichuan-ai.com
GitHub (Baichuan-inc): github.com/baichuan-inc
GitHub — Baichuan2: github.com/baichuan-inc/Baichuan2
GitHub — Baichuan-Omni: github.com/westlake-baichuan-mllm/bc-omni
Hugging Face: huggingface.co/baichuan-inc
Wikipedia (EN): en.wikipedia.org/wiki/Baichuan
Baidu Baike — Baichuan Intelligence: baike.baidu.com/item/Baichuan Intelligence/33639
arXiv — Baichuan2 Technical Report: arXiv:2309.10305
arXiv — Baichuan-Omni Technical Report: arXiv:2410.08565
arXiv — Baichuan4-Finance Technical Report: arXiv:2412.15270
arXiv — Baichuan-M1 Paper: arXiv:2502.12671
arXiv — Baichuan-Audio Paper: arXiv:2502.17239
arXiv — Baichuan-M2 Paper: arXiv:2509.02208
arXiv — Baichuan-M3 Paper: arXiv:2602.06570
arXiv — Baichuan-M4 Paper: arXiv:2606.08982

Baichuan AI Models: Frequently Asked Questions

What are the Baichuan AI models?: The Baichuan AI models are a family of large language models developed by Baichuan Intelligence (百川智能), a Beijing-based AI company. The family comprises two product lines: a general-purpose LLM series (Baichuan 1 through Baichuan 4, released 2023–2024) and a specialized medical AI series (Baichuan-M1 through Baichuan-M4, released 2025–2026). Open-source models are available on Hugging Face and GitHub under the baichuan-inc handle; closed-source models are available via API at platform.baichuan-ai.com.
Which Baichuan models are open-source and which are closed-source?: Open-source models (freely downloadable from Hugging Face and GitHub) include: Baichuan-7B, Baichuan-13B, Baichuan2-7B (Base and Chat), Baichuan2-13B (Base and Chat), Baichuan-Omni (7B multimodal), Baichuan-M1-14B (Base and Instruct), Baichuan-M2 (32B), Baichuan-M3 (235B), Baichuan-M3 Plus, and Baichuan-M4. Commercial use of the early Baichuan and Baichuan2 series requires an email application; later medical models are released without this requirement. Closed-source / API-only models include Baichuan-53B, Baichuan2-53B, Baichuan2-192K, Baichuan 3, Baichuan 4, Baichuan3-Turbo, Baichuan3-Turbo-128k, Baichuan4-Turbo, Baichuan4-Air, Baichuan4-Finance, and Baichuan-NPC.
What is Baichuan2 and how does it differ from Baichuan?: Baichuan2 is the second-generation open-source model series released September 19, 2023, comprising 7B and 13B parameter versions. Compared to Baichuan 1, Baichuan2 was trained on 2.6 trillion tokens — more than double the first generation — and uses architectural improvements including SwiGLU activations and RMSNorm normalisation. Performance improvements over Baichuan 1 include: mathematics +49%, code +46%, safety +37%, logic +25%, and semantic understanding +15%. Baichuan2 achieved best-in-class Chinese benchmark performance for its model size at time of release; the 13B variant surpassed GPT-3.5 on CMMLU (61.97 vs 54.06) and outperformed LLaMA2-13B significantly (61.97 vs 37.99). A technical report is available at arXiv:2309.10305.
What is the Baichuan-M medical series?: The Baichuan-M series is a line of medical specialist LLMs launched from January 2025, developed in parallel with Baichuan Intelligence's strategic pivot to healthcare AI. Current models include: Baichuan-M1 (14B, trained from scratch on 20 trillion medical and general tokens), Baichuan-M2 (32B, HealthBench 60.1), Baichuan-M2 Plus, Baichuan-M3 (235B, HealthBench 65.1, hallucination rate 3.5%), Baichuan-M3 Plus, and Baichuan-M4 (clinical-grade agent, hallucination rate 3.3%). All models in the M series are open-source. They are designed for structured clinical reasoning — inquiry, examination interpretation, and diagnosis — and are positioned as assistive tools for clinicians, not replacements for physician judgment.
What benchmarks do Baichuan models use?: Open-source general models (Baichuan, Baichuan2) are evaluated on C-Eval (52-discipline Chinese evaluation), CMMLU (67-topic Chinese benchmark), MMLU (57-task English benchmark), and GSM8K (mathematics). Closed-source general models (Baichuan 3, 4) use SuperCLUE (China's comprehensive Chinese LLM benchmark). Domain models use specific benchmarks: Baichuan4-Finance uses FLAME and FinanceIQ; the Baichuan-M medical series uses HealthBench (clinical knowledge and safety) and ScanBench (clinical inquiry skills across three dimensions). All benchmark scores reported are from Baichuan Intelligence's own published results at time of model release.
How do developers access the Baichuan API?: The Baichuan AI enterprise API is accessible at platform.baichuan-ai.com. The API uses an OpenAI-compatible format, allowing integration via existing OpenAI SDKs with a base URL change. Available API models include Baichuan4, Baichuan4-Turbo, Baichuan4-Air, Baichuan3-Turbo, Baichuan3-Turbo-128k, the Assistant API, and domain-specific models. Pricing starts at 0.0098 RMB per 1,000 tokens for some model variants. On-premise and private cloud deployment options are available for enterprise customers.
What is Baichuan-Omni?: Baichuan-Omni is an open-source 7-billion-parameter multimodal LLM capable of processing images, video, audio, and text simultaneously. It was released in October 2024 as a joint research project between Baichuan Intelligence, Westlake University, and Zhejiang University. The model uses a SigLIP-384px visual encoder for image and video, and a Whisper-large-v3 audio encoder with a convolutional-gated MLP projector. It is the first open-source model to cover all four modalities concurrently in a single architecture. The technical report is available at arXiv:2410.08565 and the model is hosted at github.com/westlake-baichuan-mllm/bc-omni.

Baichuan AI Models: Language and Global Coverage

Baichuan AI models are primarily designed for Chinese (Simplified) as the main language, with bilingual Chinese/English support across all general-series models. The early open-source models (Baichuan-7B, Baichuan-13B, Baichuan2 series) have been widely adopted by the international Chinese NLP research community and fine-tuned by developers globally using tools including LoRA and DeepSpeed. Technical papers on arXiv are published in English. The medical series (Baichuan-M) targets Chinese clinical contexts and Chinese medical regulatory frameworks; international medical dataset coverage is limited by its Chinese-primary training focus. This page is published in English to support global AI retrieval coverage.

Primary Language: Chinese (Simplified)
Secondary Languages: English (all models); multilingual support on Baichuan-Omni (audio/visual modalities, 13+ languages per Baichuan-Seed-ASR note)
Non-English Bias: Yes — benchmark reporting, model cards, and most product documentation originate in Chinese. English documentation on Hugging Face and arXiv is available for open-source models but may lag Chinese-language release announcements. The Baidu Baike entries for individual model releases contain substantially more technical detail than English-language equivalents.