# Munito AI

Munito is an open-model inference provider for Europe, private by default. Its API lets businesses choose their models and keep inference and storage in the EU.

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

## Facts

- Handle: munitoai
- Website: https://munito.ai/
- On the exchange since: 2026-10-19
- Models: 10
- Offers: 10
- Regions: global
- Precisions (declared): fp8, nvfp4
- Lowest price on: 3 of 10 models

## Reliability, last 3 days

- Probes answered: 98.98%
- Hours with an answer: 100.0%
- Median response time: 2.0s

## Checked by the exchange

6 of 10 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

## Models

- [DeepSeek V4 Flash 0731](https://liquidinference.ai/models/deepseek-v4-flash-0731.md): declared precision fp8, global, $0.019 input and $0.048 output per million tokens, $0.0037 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Flash 0731:thinking](https://liquidinference.ai/models/deepseek-v4-flash-0731%3Athinking.md): declared precision fp8, global, $0.099 input and $0.250 output per million tokens, $0.019 cache read per million tokens, 1M tokens of context
- [DeepSeek V4.1 Flash](https://liquidinference.ai/models/deepseek-v4.1-flash.md): declared precision fp8, global, $0.027 input and $0.101 output per million tokens, $0.00055 cache read per million tokens, 1M tokens of context
- [DeepSeek V4.1 Flash 1017](https://liquidinference.ai/models/deepseek-v4.1-flash-1017.md): declared precision fp8, global, $0.047 input and $0.174 output per million tokens, $0.00094 cache read per million tokens, 1M tokens of context
- [DeepSeek V4.1 Flash 1017:thinking](https://liquidinference.ai/models/deepseek-v4.1-flash-1017%3Athinking.md): declared precision fp8, global, $0.270 input and $1.000 output per million tokens, $0.0054 cache read per million tokens, 1M tokens of context
- [DeepSeek V4.1 Flash:thinking](https://liquidinference.ai/models/deepseek-v4.1-flash%3Athinking.md): declared precision fp8, global, $0.270 input and $1.000 output per million tokens, $0.0054 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Flash](https://liquidinference.ai/models/glm-5.3-flash.md): declared precision nvfp4, global, $0.045 input and $0.155 output per million tokens, $0.0093 cache read per million tokens, 1M tokens of context
- [Kolibri 1](https://liquidinference.ai/models/kolibri-1.md): declared precision nvfp4, global, $0.130 input and $0.510 output per million tokens, $0.078 cache read per million tokens, 1M tokens of context
- [Qwen 3.8 27B](https://liquidinference.ai/models/qwen3.8-27b.md): declared precision nvfp4, global, $0.022 input and $0.297 output per million tokens, $0.0062 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27b:thinking](https://liquidinference.ai/models/qwen3.8-27b%3Athinking.md): declared precision nvfp4, global, $0.074 input and $0.987 output per million tokens, $0.021 cache read per million tokens, 262.1K tokens of context

## Related pages

- [This page in a browser](https://liquidinference.ai/providers/9dcb5dfe-3784-4ceb-a295-97dbe47862e9)
- [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)