# GPT 5.1 2025 11 13 API

OpenAI's GPT 5.1 2025 11 13, 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 gpt-5.1-2025-11-13 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: gpt-5.1-2025-11-13
- Maker: OpenAI
- Context window: 400K tokens
- Input price: $1.252 per million tokens
- Output price: $10.017 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $1.252 input and $10.017 output per million tokens, $0.125 cache read per million tokens, 400K tokens of context

## Scores

- HLE: 5.3, #194 of 273
- GPQA: 64.3, #165 of 250
- AA-LCR: 45.0, #174 of 237
- Terminal-Bench Hard: 22.7, #84 of 166
- LiveCodeBench: 49.4, #53 of 130
- AIME 2025: 38.0, #61 of 100
- MMLU-Pro: 80.1, #47 of 133
- τ²-Bench: 46.5, #106 of 169
- IFBench: 43.2, #103 of 178

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

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.1-2025-11-13",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is GPT 5.1 2025 11 13?

GPT 5.1 2025 11 13 is a model from OpenAI.

### How much does GPT 5.1 2025 11 13 cost?

Offers now ask $1.252 per million input tokens and $10.017 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 GPT 5.1 2025 11 13?

The largest offer takes 400,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can GPT 5.1 2025 11 13 do?

Its providers list 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 GPT 5.1 2025 11 13 support?

Text · Files · Images → Text.

### Which providers serve GPT 5.1 2025 11 13?

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 GPT 5.1 2025 11 13?

Send "gpt-5.1-2025-11-13" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was GPT 5.1 2025 11 13 listed?

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

## Related pages

- [This page in a browser](https://liquidinference.ai/models/gpt-5.1-2025-11-13)
- [GPT: OSS 120B](https://liquidinference.ai/models/gpt-oss-120b.md)
- [GPT: OSS 20B](https://liquidinference.ai/models/gpt-oss-20b.md)
- [GPT: OSS Safeguard 20B](https://liquidinference.ai/models/gpt-oss-safeguard-20b.md)
- [GPT 5 Nano 2025 08 07](https://liquidinference.ai/models/gpt-5-nano-2025-08-07.md)
- [GPT 5 Nano](https://liquidinference.ai/models/gpt-5-nano.md)
- [GPT 4.1 Nano](https://liquidinference.ai/models/gpt-4.1-nano.md)
- [Set up a client](https://liquidinference.ai/connect/gpt-5.1-2025-11-13)
- [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)