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Model details

Qwen3.5 122B-A10B

Qwen3.5-122B-A10B is published by the Qwen organization on Hugging Face as an open-weights base model, with its name and repository path appearing in third-party references to the family. The 122B-A10B designation suggests a very large parameter footprint paired with a smaller active parameter count per token, a naming convention associated with mixture-of-experts architectures, but the supplied excerpts do not provide direct documentation of the modeling approach or training pipeline. Its positioning as a base release makes it suitable for downstream adaptation, including research forks and community fine-tuning efforts rather than turnkey deployment.

The strongest practical signal comes from the existence of a community derivative, wangzhang/Qwen3.5-122B-A10B-abliterix, which treats Qwen/Qwen3.5-122B-A10B as its upstream parent. That derivative describes itself as the largest abliterated model in the Qwen3.5 line, indicating that the base is large enough to be a meaningful target for capability-preserving fine-tuning work. For practitioners, this points to a base model that invites experimentation through derivative releases while the upstream itself remains the reference point researchers and tinkerers build upon.

Ofoxbailian/qwen3.5-122b-a10bqwen

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Provider
Ofox
Model key
bailian/qwen3.5-122b-a10b
Release date
Feb 23, 2026
Last updated
Feb 23, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.29
Output token cost
$2.29

Limits

Output tokens
64,000 tokens
Context window
256,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3.5 122B-A10B

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CoverageBenchmark

Roboflow's model profile confirms Qwen3.5-122B-A10B is a multimodal Mixture-of-Experts model developed by Alibaba's Qwen team with 122B total parameters and approximately 10B activated per token through sparse expert routing. The page documents a native context window of approximately 256,000 tokens, extensible via tec The profile lists the license as Apache 2.0 and notes the model unifies text and visual inputs for tasks spanning document understanding, diagram interpretation, and complex visual question answering. Roboflow's Vision Evals legacy benchmark records a 76.12% pass rate across 67 visual tasks, ranking the model 9th of 77

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