Last refreshed 2026-05-22. Next refresh: weekly.
Why use Gemini Embedding on Vercel AI Gateway?
Vercel AI Gateway offers Gemini Embedding with pay-as-you-go pricing at $0.15/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Gemini Embedding across 3 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport AI_GATEWAY_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],google/gemini-embedding-001Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="google/gemini-embedding-001",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "google/gemini-embedding-001", not the LLMReference slug "gemini-embedding-001".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Gemini Embedding Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $0.15 | Free |
| GCP Vertex AI | $0.15 | Free |
| Vercel AI Gateway | $0.15 | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.15 |
Capabilities
No model capability flags are currently sourced.
About Gemini Embedding
Gemini Embedding is a language model from Google DeepMind focused on text embeddings for retrieval and semantic search. It was released 2023-12-13.
FAQ
How does Vercel AI Gateway compare to other Gemini Embedding providers?
Gemini Embedding is available from 3 providers. The cheapest input pricing is $0.15/1M tokens from Google AI Studio.
What API model ID do I use for Gemini Embedding on Vercel AI Gateway?
Use the model ID google/gemini-embedding-001 when calling Vercel AI Gateway's API.
Who created Gemini Embedding?
Gemini Embedding was created by Google DeepMind as part of the Gemini Embedding model family.
Is Gemini Embedding open source?
Gemini Embedding is not open source; the seed data lists it as proprietary.