google/gemini-embedding-2-preview

google/gemini-embedding-2-preview
by google · text+image+audio+video+file in
Endpoints:/v1/embeddings
INPUT$0.20/ 1M tokens
OUTPUT$0.20/ 1M tokens
p50 TTFT—7d
p95 TTFT—7d
TRAFFIC—tokens / 7d
▶ Try in playground</> Use via API
Code samples
from openai import OpenAI

client = OpenAI(
    base_url="https://orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="google/gemini-embedding-2-preview",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Pricing
Input / 1M tokens$0.200
Output / 1M tokens$0.200
CurrencyUSD
Performancelast 7 days
TTFT p50
—
Output speed
—
TTFT p95
—
Error rate
—
Public benchmarkspending
No public benchmark scores ingested yet.
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FAQ
How much does google/gemini-embedding-2-preview cost on OrcaRouter?
google/gemini-embedding-2-preview is priced at $0.20 per 1M input tokens and $0.20 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is google/gemini-embedding-2-preview's context window?
google/gemini-embedding-2-preview supports a context window of — tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call google/gemini-embedding-2-preview via the OpenAI SDK?
Set OpenAI base_url to https://orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="google/gemini-embedding-2-preview" in the chat.completions.create call.
Does OrcaRouter rate-limit google/gemini-embedding-2-preview?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.
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