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BAAI

BAAI AI Models, API, Pricing, Features & Reviews

Type
AI Provider
状态
Active
模型
100
官网
访问官网

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About BAAI

BAAI is an AI provider offering API access to large language models. It hosts models from multiple AI brands, including bge-small-en-v1.5, bge-m3, bge-reranker-v2-m3, bge-large-en-v1.5, bge-base-en-v1.5. Users can integrate the BAAI API into applications for text generation, code generation, reasoning, and other AI tasks.

BAAI AI Models

Explore 100 AI models available from this provider.

bge-small-en-v1.5

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-m3

stable

Large language model with - context window.

输入: ¥0.000/1M

bge-reranker-v2-m3

stable

Large language model with - context window.

输入: ¥0.000/1M

bge-large-en-v1.5

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-base-en-v1.5

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-small-zh-v1.5

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-reranker-base

stable

Large language model with - context window.

输入: ¥0.000/1M

bge-reranker-large

stable

Large language model with - context window.

输入: ¥0.000/1M

bge-base-en

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-large-zh-v1.5

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-base-zh-v1.5

stable

Large language model with 512 context window.

输入: ¥0.000/1M

bge-multilingual-gemma2

stable

Large language model with 8,192 context window.

输入: -
View all models →

API Pricing

API pricing for models hosted by this provider.

模型输入输出缓存批量
bge-small-en-v1.5¥0.000/1M¥0.000/1M--
bge-m3¥0.000/1M¥0.000/1M--
bge-reranker-v2-m3¥0.000/1M¥0.000/1M--
bge-large-en-v1.5¥0.000/1M¥0.000/1M--
bge-base-en-v1.5¥0.000/1M¥0.000/1M--
bge-small-zh-v1.5¥0.000/1M¥0.000/1M--
bge-reranker-base¥0.000/1M¥0.000/1M--
bge-reranker-large¥0.000/1M¥0.000/1M--
bge-base-en¥0.000/1M¥0.000/1M--
bge-large-zh-v1.5¥0.000/1M¥0.000/1M--
bge-base-zh-v1.5¥0.000/1M¥0.000/1M--
bge-small-en¥0.000/1M¥0.000/1M--
bge-reranker-v2-gemma¥0.000/1M¥0.000/1M--
bge-base-zh¥0.000/1M¥0.000/1M--
bge-large-en¥0.000/1M¥0.000/1M--
llm-embedder¥0.000/1M¥0.000/1M--
bge-small-zh¥0.000/1M¥0.000/1M--
bge-large-zh¥0.000/1M¥0.000/1M--
AltCLIP¥0.000/1M¥0.000/1M--
Emu3-Gen¥0.000/1M¥0.000/1M--
Brainmu-Spike¥0.000/1M¥0.000/1M--
Emu3.5¥0.000/1M¥0.000/1M--
bge-en-icl¥0.000/1M¥0.000/1M--
bge-code-v1¥0.000/1M¥0.000/1M--
RoboBrain2.0-7B¥0.000/1M¥0.000/1M--
bge-reranker-v2-minicpm-layerwise¥0.000/1M¥0.000/1M--
Emu3-VisionTokenizer¥0.000/1M¥0.000/1M--
Emu3-Chat¥0.000/1M¥0.000/1M--
Bunny-Llama-3-8B-V¥0.000/1M¥0.000/1M--
Emu3.5-Image¥0.000/1M¥0.000/1M--
Bunny-v1_0-3B¥0.000/1M¥0.000/1M--
AltDiffusion-m9¥0.000/1M¥0.000/1M--
BGE-VL-base¥0.000/1M¥0.000/1M--
Aquila-VL-2B-llava-qwen¥0.000/1M¥0.000/1M--
BGE-VL-large¥0.000/1M¥0.000/1M--
EVA-CLIP-8B¥0.000/1M¥0.000/1M--
RoboBrain2.5-4B¥0.000/1M¥0.000/1M--
Video-XL-2¥0.000/1M¥0.000/1M--
AltDiffusion¥0.000/1M¥0.000/1M--
AREX-Turbo¥0.000/1M¥0.000/1M--
Emu3.5-VisionTokenizer¥0.000/1M¥0.000/1M--
bunny-phi-2-siglip-lora¥0.000/1M¥0.000/1M--
bge-reasoner-embed-qwen3-8b-0923¥0.000/1M¥0.000/1M--
bge-m3-unsupervised¥0.000/1M¥0.000/1M--
RoboBrain2.0-32B¥0.000/1M¥0.000/1M--
RoboBrain2.0-3B¥0.000/1M¥0.000/1M--
Bunny-v1_1-Llama-3-8B-V¥0.000/1M¥0.000/1M--
MTVCraft¥0.000/1M¥0.000/1M--
Emu3-Stage1¥0.000/1M¥0.000/1M--
BGE-VL-MLLM-S1¥0.000/1M¥0.000/1M--
EVA¥0.000/1M¥0.000/1M--
BGE-VL-Screenshot¥0.000/1M¥0.000/1M--
Bunny-v1_1-4B¥0.000/1M¥0.000/1M--
RoboBrain2.5-8B-NV¥0.000/1M¥0.000/1M--
AREX-Base¥0.000/1M¥0.000/1M--
RoboBrain¥0.000/1M¥0.000/1M--
bge-m3-retromae¥0.000/1M¥0.000/1M--
EVA-CLIP-18B¥0.000/1M¥0.000/1M--
SegGPT¥0.000/1M¥0.000/1M--
BGE-VL-MLLM-S2¥0.000/1M¥0.000/1M--
OpenSeek-Small-v1¥0.000/1M¥0.000/1M--
BGE-VL-v1.5-mmeb¥0.000/1M¥0.000/1M--
tokenize-anything¥0.000/1M¥0.000/1M--
Orca-4B¥0.000/1M¥0.000/1M--
EVA-CLIP-8B-448¥0.000/1M¥0.000/1M--
Bunny-Llama-3-8B-V-gguf¥0.000/1M¥0.000/1M--
CCI3-HQ-Classifier¥0.000/1M¥0.000/1M--
RoboBrain2.5-8B-MT¥0.000/1M¥0.000/1M--
AquilaMoE¥0.000/1M¥0.000/1M--
Infinity-Instruct-3M-0613-Mistral-7B¥0.000/1M¥0.000/1M--
IndustryCorpus2_Classifier¥0.000/1M¥0.000/1M--
Bunny-v1_0-4B¥0.000/1M¥0.000/1M--
bge-large-zh-noinstruct¥0.000/1M¥0.000/1M--
OmniGen-v1¥0.000/1M¥0.000/1M--
RoboBrain-X0-Preview¥0.000/1M¥0.000/1M--

Features & Capabilities

CapabilitySupport
Text Generation
Code Generation
Reasoning
Vision
Audio
Function Call
MCP
JSON Mode
Embedding

What Can BAAI Be Used For?

Developers

  • Code generation and completion
  • Debugging and refactoring
  • API integration and automation

Businesses

  • Customer support automation
  • Data analysis and reporting
  • Content generation and summarization

Researchers

  • Reasoning and scientific tasks
  • Literature review
  • Hypothesis exploration

BAAI Pros and Cons

Advantages

  • Multiple large language models available
  • API access for integration
  • Supports text, code, reasoning, and more

Limitations

  • Ecosystem may be smaller than established providers
  • Availability and features may vary by region
  • Pricing can change with model updates

Frequently Asked Questions

What is BAAI?▼
BAAI is an AI provider offering API access to large language models. It hosts models from BAAI, including bge-small-en-v1.5, bge-m3, bge-reranker-v2-m3, bge-large-en-v1.5, bge-base-en-v1.5. Users can integrate the BAAI API into applications for text generation, code generation, reasoning, and other AI tasks.
Does BAAI have an API?▼
Yes, {name} provides API access to its models. You can integrate it into your applications via standard HTTP endpoints and SDKs.
Is BAAI free to use?▼
Some models or tiers may offer activity offers or trial access. For production use, refer to the pricing section above for current rates and plans.
Is BAAI open source?▼
Open-source availability varies by model. Review individual model pages for licensing and open-source details.
How does BAAI compare with other AI providers?▼
Compare models, pricing, and benchmarks in the sections above. Use the related providers and comparisons to explore alternatives.

Last updated: 9/23/2026