Model garden Router · on request Dedicated · available

AquilaChat2 70B Expr

Runs as your own dedicated GPU deployment, ready to launch from the wizard. Data stays in Europe.

We opensource our Aquila2 series, now including Aquila2, the base language models, namely Aquila2-7B, Aquila2-34B and Aquila2-70B-Expr , as well as AquilaChat2, the chat models, namely AquilaChat2-7B, AquilaChat2-34B and AquilaChat2-70B-Expr, as well as the long-text chat models,...

BAAI/AquilaChat2-70B-Expr On request
text->text · BAAI · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
70B
Parameters
4K
Context window
161GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Parameters 70B
Context window 4,096 tokens
Minimum VRAM 161 GB
Architecture AquilaForCausalLM (vLLM)
License other
Modality text->text
Released November 2023
Publisher BAAI ↗

Pricing

Shared router · per token
On request
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Dedicated GPU · per hour
from €5,91 per hour
Your own vLLM instance on European cloud (161 GB VRAM), billed hourly.

Shared EU router, pay-per-token, scale-to-zero. Dedicated GPU deployments are billed hourly, see pricing.

Bench index

Bench is our quality index for every model, 0 to 100. It rests on public measurements (Epoch AI with about 40 benchmarks, LiveBench, LMArena and more) and is refreshed every morning. Where nobody measures, it shows an estimate with a range.

~30.2 / 100 · Estimate

No public benchmark yet: estimated from size and release date.

Range 18.7 to 41.7

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 03-11-2026

Call it now

Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "BAAI/AquilaChat2-70B-Expr",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run AquilaChat2 70B Expr in the EU?

Yes. HostYourAI runs AquilaChat2 70B Expr on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.

Is hosting AquilaChat2 70B Expr GDPR-compliant?

Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.

How much does AquilaChat2 70B Expr cost?

AquilaChat2 70B Expr needs several GPUs at once, so it runs as a dedicated deployment billed per GPU-hour rather than per token. Tell us your volume and we will work it out with you.

Is the API OpenAI-compatible?

Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.

More models from BAAI

AREX 2

AREX-2 is a 27B-parameter long-horizon agent model from the Beijing Academy of Artificial Intelligence (BAAI). It learns to improve a solution over multiple test-time rounds: propose, measure, reflect, and revise.

27B 262K context View model →
Recon2Reason Reasoning 4B

Recon2Reason Reasoning 4B is a 4B-scale vision-language model specialized for spatial reasoning in indoor and embodied scenes. It is fine-tuned from Qwen3-VL-4B and improves reasoning about metric distance, relative position, object configuration, and spatial relations from visual inputs.

4.4B 262K context View model →
AREX Base

AREX is a family of deep research agents developed by the Beijing Academy of Artificial Intelligence (BAAI). It is designed for long-horizon tasks in which an agent must search across sources, assemble candidate answers, verify multiple constraints, and revise its research plan when the available evidence is incomplete.

123B 262K context View model →
AREX Turbo

AREX is a family of deep research agents developed by the Beijing Academy of Artificial Intelligence (BAAI). It is designed for long-horizon tasks in which an agent must search across sources, assemble candidate answers, verify multiple constraints, and revise its research plan when the available evidence is incomplete.

4.5B 262K context View model →
URSA 1.7B IBQ512

Using the 🤗's Diffusers library to run URSA in a simple and efficient manner.

2.3B View model →
URSA 0.6B FSQ320

Using the 🤗's Diffusers library to run URSA in a simple and efficient manner.

0.7B View model →

Try AquilaChat2 70B Expr for free

Creating an account takes a minute. Test AquilaChat2 70B Expr straight away in the playground.

Start for free