# Valar

Valar is the most efficient, lowest-cost inference layer for agentic workloads across GPUs, accelerators, and clouds.

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

## Facts

- Handle: valar
- Website: https://valarhq.ai/
- On the exchange since: 2026-10-20
- Models: 2
- Offers: 2
- Regions: us-east
- Precisions (declared): fp8
- Lowest price on: 0 of 2 models

## Reliability, last 3 days

- Probes answered: 97.32%
- Hours with an answer: 100.0%
- Median response time: 1.3s

## Checked by the exchange

1 of 2 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

- Zero retention, declared by the provider
- No training, declared by the provider
- SOC 2 Type II, declared by the provider
- GDPR DPA, declared by the provider
- PCI DSS, declared by the provider

## Models

- [DeepSeek V4.1 Flash 1017](https://liquidinference.ai/models/deepseek-v4.1-flash-1017.md): declared precision fp8, us-east, $0.048 input and $0.178 output per million tokens, $0.0048 cache read per million tokens, 1M tokens of context
- [GLM 5.3](https://liquidinference.ai/models/glm-5.3.md): declared precision fp8, us-east, $0.800 input and $2.500 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context

## Related pages

- [This page in a browser](https://liquidinference.ai/providers/92f9e9e4-c371-44ab-87ae-d39c5ab2fee4)
- [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)
