Gemini Embedding 2
gemini-embedding-2
Gemini Embedding 2 is a text model from Google. The snapshot records a release date of 2026-04-22. Context window: 8.192K tokens. Maximum output: 3.072K tokens. Input: text, images, audio, video, PDF. Output: text.
Directory snapshot 2026-10-26 · Chinese dossier: 完整中文页
Official list price
CNY / 1M TOKENSOfficial list price in the directory snapshot: ¥1.34 input and ¥0 output per 1M tokens, in CNY. Relay prices below are what individual sites listed; they can be lower or higher, and they are not official prices.
Relay coverage
5 SITES5 sites in our public directory listed this model ID in the 2026-10-26 snapshot. Listed relay price range: ¥0.06–¥157.5 per 1M input tokens. A listing means the model appeared on the site's public model list; it is not proof that the site serves the genuine model.
| Site | Domain | Relay price / 1M | Verification |
|---|---|---|---|
| OmniaKey | omniakey.com | ¥0.06 | enterprise |
| ePhone AI | ephone.ai | ¥0.0742–¥0.14 | — |
| Modelsell | modelsell.com | ¥0.68–¥1.36 | — |
| xAIx | api.xaix.me | ¥112.5–¥157.5 | — |
| AutoRouter | autorouter.net | ¥135 | personal |
How to verify this model on a relay
THREE STEPS- Send a short request to the relay and read the
modelfield in the response. It must match the ID you sent; a different ID is a mapping, not necessarily a substitution. - Run the same prompt against a known-good endpoint and compare prompt-token counts. A large, repeatable gap points at a different tokenizer or a different backend.
- Run the seven checks. Billing, context retention, error shape, parameter compliance, tools, and streaming each produce evidence you can quote.
Same publisher
GoogleQuestions
FAQWhat is the context window of Gemini Embedding 2?
The snapshot records 8,192 tokens.
How much does Gemini Embedding 2 cost?
Official list price: ¥1.34 input / ¥0 output per 1M tokens in CNY, per the directory snapshot. 5 relay sites listed it at ¥0.06–¥157.5 per 1M input tokens.
Is a relay really serving Gemini Embedding 2?
A model ID in a response is not proof. The seven-check detection compares tokenizer ratios, billing, error shape, parameter compliance, tools, and streaming against the advertised family. Run it on a key you can afford to spend, and treat one run as a spot check, not 24/7 monitoring.
Specifications and prices come from the 2026-10-26 public directory snapshot. We do not publish IQ scores or structured-output claims for models where we have no reliable data.