Embedding 3
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Embedding 3

embedding-3llms.txt
Z.AI
A text vector model that converts input text into vector representations to work with a vector database and provide an external knowledge base for a large model. The model supports custom vector dimensions; it is recommended to choose 256, 512, 1024, or 2048 dimensions.

Pricing

  • Input Tokens: $0.069 /M tokens
  • Output Tokens: $0.069 /M tokens

Input Modalities

  • Text

Providers

Z.AI embedding-3
Pricing$0.069$0.069
Context8K
Max output0
Latency-
Throughput-
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today

Performance for embedding-3

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Frequently asked questions

What is Embedding 3?

A text vector model that converts input text into vector representations to work with a vector database and provide an external knowledge base for a large model. The model supports custom vector dimensions; it is recommended to choose 256, 512, 1024, or 2048 dimensions.