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Lion-ER-35B-A3B: What the Open Embodied AI Model Does
Lion ER 35B A3B is an open weight embodied reasoning model with 35 billion total parameters and about 3 billion active per token. The model is an independently fine tuned derivative of Qwen3.6 35B A3B, intended for spatial and visual reasoning relevant to robotics.
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Key takeaways
- Lion ER 35B A3B is an open weight embodied reasoning model with 35 billion total parameters and about 3 billion active per token.
- The model is an independently fine tuned derivative of Qwen3.6 35B A3B, intended for spatial and visual reasoning relevant to robotics.
- Benchmark claims do not establish that the model is ready for autonomous or safety critical robot control.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What is Lion-ER-35B-A3B, the embodied reasoning vision-language model open-sourced by China Merchants Group Advanced Technology Research Ins. Article summary: Lion-ER-35B-A3B is an open-weight embodied-reasoning vision-language model released by LionRock AI Lab under China Merchants Group’s advanced-technology research institute, with roughly 35 billion total parameters and 3 . Topic tags: general, general web, documentation. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fak
Lion-ER-35B-A3B is an open-weight vision-language model designed for embodied and spatial reasoning—capabilities relevant to robots interpreting scenes and tasks. It has 35 billion parameters in total, with about 3 billion active per token, and its weights are available on Hugging Face under the Apache 2.0 license. 2
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19 Its reported benchmark results are promising, but published averages differ, making the exact headline score uncertain.
What Lion-ER-35B-A3B is
The model was developed by LionRock AI Lab, associated with China Merchants Group’s Advanced Technology Research Institute. Its stated focus is embodied reasoning: connecting visual input with spatial or task-related questions. Reporting on the release describes its intended use in helping robots reason about three-dimensional space, object states and task progress. 7
The Hugging Face release identifies Lion-ER-35B-A3B as an independently fine-tuned derivative of Qwen3.6-35B-A3B. 1 It uses a mixture-of-experts (MoE) design. In the model name, “35B-A3B” reflects the approximate 35 billion total parameters and 3 billion activated per token reported for the model.
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Availability and license
The model weights are hosted on Hugging Face as cmriat/lion-ER-35B-A3B, and the model page lists an Apache 2.0 license. 2 That makes the weights available for developers to inspect and experiment with, subject to the license terms; it does not by itself demonstrate that the model will perform reliably in a robot or unfamiliar environment.
What the benchmark reports do—and don’t—show
Release coverage says Lion-ER-35B-A3B outperformed its base model across ten embodied-reasoning benchmarks. One account reports an average of 65.29 across those benchmarks. 19 However, the provided repository results have also been cited with a different ten-benchmark mean, 65.49.
3 The available reporting does not explain the difference, so the two averages should not be treated as a single, settled result.
The release claims indicate performance on benchmark tasks, not demonstrated readiness for real-world autonomy. The available evidence does not establish transfer to unfamiliar settings or safe operation in safety-critical applications. Treat the results as evidence about reported evaluations—not as proof that the model can independently control a robot.
The practical takeaway
Lion-ER-35B-A3B is a notable open-weight entry in embodied AI: a Qwen-derived MoE model with a robotics-oriented reasoning focus and an Apache 2.0 release. 1
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7 Its benchmark results deserve attention, but the discrepancy between reported averages is a reason to consult the model’s own release materials and evaluation details before drawing comparisons.
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What is the short answer to "Lion-ER-35B-A3B: What the Open Embodied AI Model Does"?
Lion ER 35B A3B is an open weight embodied reasoning model with 35 billion total parameters and about 3 billion active per token.
What are the key points to validate first?
Lion ER 35B A3B is an open weight embodied reasoning model with 35 billion total parameters and about 3 billion active per token. The model is an independently fine tuned derivative of Qwen3.6 35B A3B, intended for spatial and visual reasoning relevant to robotics.
What should I do next in practice?
Benchmark claims do not establish that the model is ready for autonomous or safety critical robot control.
Sources
huggingface.cocmriat/lion-ER-35B-A3B · Hugging Face
pandaily.comChina Merchants' LionRock AI Lab Open-Sources Lion-ER-35B-A3B Embodied Reasoning Model
zglg.workChina Merchants' Lion Mountain Lab open-sources Lion-ER-35B-A3B, a 35B MoE embodied-reasoning VLM activating ~3B per token