BGE M3 API Pricing
As of October 10, 2026, BGE M3 costs $0.01 per 1M input tokens from LibertAI, the lowest of 2 providers. It has an 8,192-token context window and returns up to 96,000 tokens per response.
- Input
- $0.01 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 8,192 tokens
- Max output
- 96,000 tokens
- Providers
- 2
- Added to LiteLLM
- January 2026
BGE M3 pricing by provider
2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
What BGE M3 costs in practice
Embedding 10,000 documents of 500 tokens each
| LibertAI | $0.05 |
| Novita AI | $0.05 |
Use BGE M3 with LiteLLM
Call BGE M3 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/embeddings. LiteLLM tracks the cost of every request at these prices.
from litellm import embedding
response = embedding(
model="libertai/bge-m3",
input=["hello world"],
)model_list:
- model_name: bge-m3
litellm_params:
model: libertai/bge-m3
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/embeddings \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "bge-m3",
"input": "hello world"
}'BGE M3 FAQ
How much does BGE M3 cost?
BGE M3 costs $0.01 per 1M input tokens from LibertAI, the lowest of 2 providers.
What is the context window of BGE M3?
BGE M3 has an 8,192-token context window and returns up to 96,000 tokens per response.
Which providers offer BGE M3?
BGE M3 is available from 2 providers through LiteLLM: LibertAI and Novita AI.
How do I call BGE M3 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="libertai/bge-m3", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/embeddings from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
When did LiteLLM add BGE M3?
BGE M3 was added to LiteLLM's model price file in January 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: LibertAI.