# Gemini 3.8 Flash API

Google's Gemini 3.8 Flash, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send gemini-3.8-flash as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: gemini-3.8-flash
- Maker: Google
- Context window: 1M tokens
- Input price: $0.748 per million tokens
- Output price: $3.742 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.748 input and $3.742 output per million tokens, $0.075 cache read, $0.042 cache write per million tokens, 1M tokens of context

## Scores

- Intelligence: 30.1, #17 of 41
- HLE: 42.1, #38 of 273
- GPQA: 93.5, #6 of 250
- AA-LCR: 84.0, #7 of 237
- SciCode: 55.1, #27 of 123
- SimpleQA Verified: 69.7, #10 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.8-flash",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Gemini 3.8 Flash?

Served by intent-router: each job goes to the cheapest healthy upstream for this model.

### How much does Gemini 3.8 Flash cost?

Offers now ask $0.748 per million input tokens and $3.742 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of Gemini 3.8 Flash?

The largest offer takes 1,048,576 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Gemini 3.8 Flash do?

Its providers list Audio input, Documents, Vision, Video input, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does Gemini 3.8 Flash support?

Text · Audio · Files · Images · Video → Text.

### Which providers serve Gemini 3.8 Flash?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Gemini 3.8 Flash?

Send "gemini-3.8-flash" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Gemini 3.8 Flash listed?

The exchange first listed it on 10/8/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/gemini-3.8-flash)
- [Gemma 4 26B a4b It:thinking](https://liquidinference.ai/models/gemma-4-26b-a4b-it%3Athinking.md)
- [Diffusiongemma](https://liquidinference.ai/models/diffusiongemma.md)
- [Gemma 3 27B It](https://liquidinference.ai/models/gemma-3-27b-it.md)
- [Gemma 3 4B It](https://liquidinference.ai/models/gemma-3-4b-it.md)
- [Gemma 4 12B It Semancer](https://liquidinference.ai/models/gemma-4-12b-it-semancer.md)
- [Gemma 4 12B It](https://liquidinference.ai/models/gemma-4-12b-it.md)
- [Set up a client](https://liquidinference.ai/connect/gemini-3.8-flash)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)