# RelayGPU

OpenAI-compatible inference API by OpenGPU.

RelayGPU sells inference on Liquid Inference. A buyer names one of its models as relaygpu/\<model\>, or names the model and pays the lowest offer that meets the buyer's rules.

## Facts

- Handle: relaygpu
- Website: https://relaygpu.com/
- On the exchange since: 2026-10-22
- Models: 7
- Offers: 7
- Regions: global
- Precisions (declared): provider-managed
- Lowest price on: 7 of 7 models

## Reliability, last 3 days

- Probes answered: 83.05%
- Hours with an answer: 100.0%
- Median response time: 3.6s

## Checked by the exchange

0 of 7 offers match the fingerprint of the model. 0 have a finished evaluation.

The exchange sends fixed prompts to each offer and compares the answers with a baseline for the model. It also runs benchmarks against the offers and keeps the results.

## Data handling

- Kept 90 days, declared by the provider
- No training, declared by the provider

## Models

- [GPT 5.4](https://liquidinference.ai/models/gpt-5.4.md): declared precision provider-managed, global, $2.500 input and $15.000 output per million tokens, $2.500 cache read per million tokens, 272K tokens of context
- [GPT 5.4 Mini](https://liquidinference.ai/models/gpt-5.4-mini.md): declared precision provider-managed, global, $0.750 input and $4.500 output per million tokens, $0.750 cache read per million tokens, 272K tokens of context
- [GPT 5.5](https://liquidinference.ai/models/gpt-5.5.md): declared precision provider-managed, global, $5.000 input and $30.000 output per million tokens, $0.500 cache read per million tokens, 272K tokens of context
- [GPT 6 Astra](https://liquidinference.ai/models/gpt-6-astra.md): declared precision provider-managed, global, $20.000 input and $75.000 output per million tokens, $2.000 cache read per million tokens, 1M tokens of context
- [Nemotron 3 Nano 30B a3b](https://liquidinference.ai/models/nemotron-3-nano-30b-a3b.md): declared precision provider-managed, global, $0.050 input and $0.200 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Qwen 3.6 Plus](https://liquidinference.ai/models/qwen3.6-plus.md): declared precision provider-managed, global, $0.280 input and $1.680 output per million tokens, $0.028 cache read per million tokens, 64K tokens of context
- [Qwen 3.8 Max](https://liquidinference.ai/models/qwen3.8-max.md): declared precision provider-managed, global, $1.716 input and $5.148 output per million tokens, $1.716 cache read per million tokens, 983.6K tokens of context

## Related pages

- [This page in a browser](https://liquidinference.ai/providers/42a59421-ba42-47c5-9e79-b05429ad3b59)
- [All providers](https://liquidinference.ai/providers.md)
- [All models](https://liquidinference.ai/models)
- [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)