Vertex AI text embedding model optimized for English. Returns 768-dimensional vectors; supports the `dimensions` parameter (1–768) and native batching (up to 250 inputs per request).
OffRail routes requests to the best providers that are able to handle your prompt size and parameters.
Vertex AI text embedding model optimized for English. Returns 768-dimensional vectors; supports the `dimensions` parameter (1–768) and native batching (up to 250 inputs per request). You can access it through OffRail's OpenAI-compatible API with automatic provider routing, fallback, and cost analytics.
Pricing for Text Embedding 005 on OffRail starts at $0.02 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.
Text Embedding 005 supports a context window of up to 2,048 tokens on its largest provider deployment.
Text Embedding 005 is served by Google Vertex AI through OffRail. Requests are automatically routed to the best available provider, with fallback when a provider has issues.
No. Text Embedding 005 does not currently support tool calling or structured JSON outputs through OffRail.
Text Embedding 005 was released on November 18, 2024.
Gemini 3.7 Flash
1,048,576 context$0.75 in / $3.75 out per 1M
Gemini 3.5 Flash Lite
1,048,576 context$0.30 in / $2.50 out per 1M
Gemini 3.6 Flash
1,048,576 context$0.75 in / $3.75 out per 1M
Gemini 3.1 Flash Lite Image
65,536 context$0.25 in / $1.50 out per 1M
Gemini 3.5 Flash
1,048,576 context$1.50 in / $9.00 out per 1M
Gemini 3.1 Flash Lite
1,048,576 context$0.25 in / $1.50 out per 1M