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AREX Base
About AREX Base
AREX Base is an AI model developed by BAAI, in the language category, released in 2026, made available as an open-source model with 122B params. BAAI's AREX-Base is a Recursively Self-Improving (RSI) deep research agent built on Qwen3.5-122B-A10B. Higher-capacity model with the strongest overall AREX results. Verifies provisional answers, preserves established evidence, and targets unresolved constraints.
On this page you'll find AREX Base's full specifications, including a context window of 256K tokens. Review provider pricing and benchmark scores below, or compare AREX Base head-to-head with other language models.
Run AREX Base locally — what to buy
Share this build ↗Sized to what AREX Base actually needs (~256k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is AREX Base? ▶
BAAI's AREX-Base is a Recursively Self-Improving (RSI) deep research agent built on Qwen3.5-122B-A10B. Higher-capacity model with the strongest overall AREX results. Verifies provisional answers, preserves established evidence, and targets unresolved constraints. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created AREX Base? ▶
AREX Base was developed by BAAI and released in 2026.
Is AREX Base open source or proprietary? ▶
AREX Base is released as open source — its weights are publicly available to download, run locally and fine-tune.
What is AREX Base's context window? ▶
AREX Base supports a context window of 256K tokens, and has 122B params.
How much does AREX Base cost? ▶
Pricing for AREX Base depends on the provider. See the providers table on this page for the latest API rates.
How does AREX Base perform on benchmarks? ▶
Benchmark scores for AREX Base are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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