BAAI's multilingual embedding model supporting dense, sparse, and multi-vector retrieval across 100+ languages. 8K context, 1024-dim output.
LLM Gateway routes requests to the best providers that are able to handle your prompt size and parameters.
BAAI's multilingual embedding model supporting dense, sparse, and multi-vector retrieval across 100+ languages. 8K context, 1024-dim output. You can access it through LLM Gateway's OpenAI-compatible API with automatic provider routing, fallback, and cost analytics.
Pricing for BGE-M3 on LLM Gateway starts at $0.01 per million input tokens and $0.00 per million output tokens, depending on the provider. The pricing table above always reflects the current per-provider rates.
BGE-M3 supports a context window of up to 8,192 tokens on its largest provider deployment.
BGE-M3 is served by DeepInfra through LLM Gateway. Requests are automatically routed to the best available provider, with fallback when a provider has issues.
No. BGE-M3 does not currently support tool calling or structured JSON outputs through LLM Gateway.
BGE-M3 was released on January 29, 2024.