Project AURIONAI Use-Cases Research & Innovation
Alibaba (Qwen)
multimodal LLM

Qwen3.5-122B-A10B

Alibaba's 122B hybrid MoE model; ranked third on SEA-HELM Indonesian.

Alibaba (Qwen)Alibaba (Qwen)ChinaQwen3.5Family
Benchmark score chart of the mid-size Qwen3.5 models from the model card.
Levelmodel
Classmultimodal LLM
Parameters122B
Context262,000
ReleasedFeb 2026
Opennessopen weights permissive
Runs onsingle datacentre GPU
Statusactive

Benchmark Results

maintainer-run
SEA-HELMSoutheast Asian and Indonesian
Indonesianmaintainer-run
77.93 95% CI [-1.29, +1.25]
04080

Score in index. Higher is better.

rank 3, SEA-HELM Indonesian18 Sep 2026 leaderboard.sea-lion.ai
maintainer-run
77.93 95% CI [-1.29, +1.25]
04080

Score in score. Higher is better.

rank 3, SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps18 Sep 2026 leaderboard.sea-lion.ai
maintainer-run
74.66 95% CI [-0.64, +0.61]
04080

Score in score. Higher is better.

rank 2, SEA-HELM SEA average, open-weight models18 Sep 2026 leaderboard.sea-lion.ai
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Efficiency architectures (MoE, sparse attention, long context)produced byOpen-weight frontier releases as research substrateused by

Identity

Developer
Alibaba (Qwen)
Family
Qwen3.5
Released
Feb 2026 sourcesnotes
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
hybrid Hybrid MoE
Total parameters
122B sources
Active parameters
10B
Checkpoint parameters
–
Note
122B total, 10B active (per name)
Context length
262,000 tokens
Input
text, image, video
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
single datacentre GPU
Footprint
Single GPU at FP8 or Int4
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
measured on a benchmark
  • SEA-HELM Indonesian leaderboard (ID aggregate, first score column of the Indonesian Competency and Task Scores table): 77.93 (95% CI -1.29 to +1.25), run by AI Singapore (SEA-HELM leaderboard maintainer) leaderboard.sea-lion.ai
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. Qwen3.5 - a Qwen Collection huggingface.co https://huggingface.co/collections/Qwen/qwen35
  2. SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/SEA https://leaderboard.sea-lion.ai/detailed/SEA
  3. SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/ID https://leaderboard.sea-lion.ai/detailed/ID
  4. huggingface.co/Qwen/Qwen3.5-122B-A10B https://huggingface.co/Qwen/Qwen3.5-122B-A10B

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Qwen3.5-122B-A10B", https://aurion.semai.id/models/alibaba-qwen3-5-122b-a10b/, records of October 2026.