# gemini-embedding-001 API — pricing & specs

gemini-embedding-001 is a text-embedding model from Google DeepMind. On KeepRouter, gemini-embedding-001 costs $0.1500 per 1M input tokens and $0.6000 per 1M output tokens, billed pay-as-you-go with no monthly fee; actual request cost depends on measured token usage. Call it through a compatible KeepRouter endpoint supported by its active route, with the model id `gemini-embedding-001`.

| Spec | Value |
|---|---|
| Maker | Google DeepMind |
| Modality | Text embeddings |
| Input price | $0.1500 per 1M tokens |
| Output price | $0.6000 per 1M tokens |
| Capabilities | Text embeddings |
| Endpoint | POST /v1/embeddings |
| Model id | `gemini-embedding-001` |

## Call it via embeddings endpoint

Send embedding requests to POST /v1/embeddings.

### cURL

```bash
curl https://keeprouter.com/v1/embeddings \
  -H "Authorization: Bearer $KEEPROUTER_KEY" -H "Content-Type: application/json" \
  -d '{"model":"gemini-embedding-001","input":"The quick brown fox"}'
```

### Python

```python
import os
from openai import OpenAI
client = OpenAI(base_url="https://keeprouter.com/v1", api_key=os.environ["KEEPROUTER_KEY"])
e = client.embeddings.create(model="gemini-embedding-001", input="The quick brown fox")
```

### JavaScript

```js
const res = await fetch("https://keeprouter.com/v1/embeddings", {
  method: "POST",
  headers: { Authorization: "Bearer " + process.env.KEEPROUTER_KEY, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "gemini-embedding-001", input: "The quick brown fox" }),
});
```

## Estimate API costs

At the current KeepRouter customer price, an example workload of 1,000 total input tokens, no cached input, and 0 output tokens per request costs approximately $0.000150 per request. At 100 requests per day, that is $0.4500 over 30 days. This is a usage estimate, excluding processing fees, taxes, retries and application infrastructure. Actual usage, cache hits and supported generation durations need their own checks.

[Adjust quantities in the API cost calculator](/tools/api-cost-calculator?model=gemini-embedding-001).

## How to evaluate gemini-embedding-001

gemini-embedding-001 is listed on KeepRouter as text embeddings under the exact id `gemini-embedding-001`. Use /v1/embeddings for the listed route; a maker's upstream features do not automatically apply to this gateway endpoint. No context limit is asserted here because the exact upstream limit has not been verified for this catalog entry.

**First workload:** Embed a small, labeled set of your own documents and queries; measure retrieval recall and index size before migrating the full corpus.

**Before production:** Keep query and document embeddings on the same model and version. Re-index after a model change rather than mixing incompatible vector spaces.

## Public model usage evidence

No public, exact-variant usage figure has been verified for this KeepRouter model id. Missing data is not zero usage; family-level or maker-wide traffic is not presented as this model's traffic.

## Published examples and cases

No exact-model customer case has been verified for this entry. The workload above is an evaluation recipe, not a claim of a public deployment.

## Source and verification boundary

[Official Google DeepMind website](https://deepmind.google/). KeepRouter's live catalog is authoritative for the customer price and enabled endpoint shown here; the maker remains authoritative for upstream model capabilities and limits.

## Pricing and implementation guides

- [Calculate your API workload cost](https://keeprouter.com/tools/api-cost-calculator)
- [KeepRouter API keys: move from free to paid models](https://keeprouter.com/blog/keeprouter-api-key-free-to-paid)

## Related models

- [Gemma 4 26B A4B IT](https://keeprouter.com/models/gemma-4-26b-a4b-it.md) by Google DeepMind — $0.1000 per 1M input tokens and $0.3000 per 1M output tokens
- [Gemini 3.8 Flash](https://keeprouter.com/models/gemini-3.8-flash.md) by Google DeepMind — $0.7500 per 1M input tokens and $3.75 per 1M output tokens
- [Gemma 4 31B](https://keeprouter.com/models/gemma-4-31B-it.md) by Google DeepMind — $0.1200 per 1M input tokens and $0.3500 per 1M output tokens
- [Gemini 3.7 Flash](https://keeprouter.com/models/gemini-3.7-flash.md) by Google DeepMind — $0.7500 per 1M input tokens and $3.75 per 1M output tokens
- [Veo 3.1](https://keeprouter.com/models/veo-3.1.md) by Google DeepMind — $0.4000 per second of video
- [Gemini 3.6 Flash](https://keeprouter.com/models/gemini-3.6-flash.md) by Google DeepMind — $0.7500 per 1M input tokens and $3.75 per 1M output tokens

## More

- [All models & pricing](https://keeprouter.com/models.md)
- [Quickstart](https://keeprouter.com/docs/quickstart.md)
- [Get an API key](https://keeprouter.com/login?returnTo=%2Fconsole%2Fkeys%3Fmodel%3Dgemini-embedding-001)

_Catalog facts and prices last changed 2026-10-03._
_Page content reviewed 2026-09-28._