# AREX-Turbo: Self-Hosting Hardware, Scenarios and Commercial License

> Compact deep-research model for long-horizon information seeking, evidence aggregation and multi-constraint verification.

- Verified: 2026-09-12
- Released: 2026-07-23
- Canonical: https://chinaapi.ai/open-model-deployment/arex-turbo/
- Back to directory: https://chinaapi.ai/open-model-deployment/
- Machine-readable dataset: https://chinaapi.ai/data/open-model-deployment.json

## Model facts

- Vendor: BAAI
- Parameters: 4B dense total; 4B dense active
- Native precision: BF16
- Context: 256K tokens
- Category: General and agentic foundation models
- Modalities: text → text
- Serving paths: Transformers, vLLM, SGLang
- Official weights: https://huggingface.co/BAAI/AREX-Turbo?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- Model documentation: https://huggingface.co/BAAI/AREX-Turbo?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment

## Deployment evidence

- **Official launch / minimum — evidence C:** Transformers, vLLM and SGLang launch paths are documented, but the vendor does not publish an absolute minimum GPU or memory configuration. Source: https://huggingface.co/BAAI/AREX-Turbo?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **200-person team — evidence E:** Start with one measured worker and size by concurrent research trajectories, tool calls and context accumulation rather than employee count.
- **Commercial API — evidence C:** Official vLLM and SGLang servers are available; public use still needs replicas, retrieval observability and citation-quality controls. Source: https://huggingface.co/BAAI/AREX-Turbo?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment

## Scenario evidence

- **Deep research agents — Vendor-stated:** BAAI positions AREX-Turbo for long-horizon information seeking, evidence aggregation and multi-step research. Source: https://huggingface.co/BAAI/AREX-Turbo?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **Multi-constraint verification — Public evidence:** The official release publishes deep-research and verification evaluations; results are vendor measurements rather than ChinaAPI reproductions. Source: https://huggingface.co/BAAI/AREX-Turbo?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **Private research endpoint — ChinaAPI inference:** The dense 4B shape and three official inference paths make it a practical private research-agent candidate.

## Commercial-use check

- License: Apache-2.0 — https://huggingface.co/BAAI/AREX-Turbo/blob/main/LICENSE?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- MaaS / hosted service: No model-specific MaaS restriction identified in Apache-2.0.
- Attribution: Provide the license and required notices, preserve attribution notices, and mark modified files; trademark rights are not granted.

## Avoid or validate first

- Treating long-context support as proof of source reliability
- Deploying research answers without citation and retrieval validation

## Known limitations and open questions

- No ChinaAPI reproduction or official hardware minimum
- Vendor evaluations do not validate a specific retrieval stack
- Long-horizon quality depends on tools, sources and orchestration outside the weights

## Evidence boundary

Loading weights, completing a first forward pass and meeting a production latency/SLA are separate thresholds. The 200-person and commercial tiers require workload-specific measurement. License summaries are product research, not legal advice.

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