# Gemini 2.5 Flash Lite Preview 09 2025 Thinking API

Google's Gemini 2.5 Flash Lite Preview 09 2025 Thinking, 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-2.5-flash-lite-preview-09-2025-thinking 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-2.5-flash-lite-preview-09-2025-thinking
- Maker: Google
- Context window: 1M tokens
- Input price: $0.150 per million tokens
- Output price: $0.599 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.150 input and $0.599 output per million tokens, $0.015 cache read per million tokens, 1M tokens of context

## 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-2.5-flash-lite-preview-09-2025-thinking",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Gemini 2.5 Flash Lite Preview 09 2025 Thinking?

Gemini 2.5 Flash Lite Preview 09 2025 Thinking is a model from Google.

### How much does Gemini 2.5 Flash Lite Preview 09 2025 Thinking cost?

Offers now ask $0.150 per million input tokens and $0.599 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 2.5 Flash Lite Preview 09 2025 Thinking?

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 2.5 Flash Lite Preview 09 2025 Thinking do?

Its providers list Audio input, Documents, Vision, 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 2.5 Flash Lite Preview 09 2025 Thinking support?

Text · Audio · Files · Images → Text.

### Which providers serve Gemini 2.5 Flash Lite Preview 09 2025 Thinking?

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 2.5 Flash Lite Preview 09 2025 Thinking?

Send "gemini-2.5-flash-lite-preview-09-2025-thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Gemini 2.5 Flash Lite Preview 09 2025 Thinking listed?

The exchange first listed it on 10/5/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/gemini-2.5-flash-lite-preview-09-2025-thinking)
- [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)
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- [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-2.5-flash-lite-preview-09-2025-thinking)
- [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)