Qwen 3.5 122B A10B

Alibaba
What distinguishes Qwen 3.5 122B A10B is its mid-sized MoE configuration with a vision encoder. It connects text, images, and video to 122 billion total parameters, with 10 billion active per token. Reasoning runs by default but can be disabled in the instruct configuration.
Qwen releases the weights under Apache-2.0 and lists 262,144 native context tokens, extendable to 1,010,000.
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | API, LocalSource |
| Parameters | 122BSource |
| Active parameters | 10BSource |
| Context window | 262,144 tokensSource |
| Weights repository | Qwen/Qwen3.5-122B-A10BSource |
| License | Apache-2.0Source |
| Architecture | hybrid Gated DeltaNet + Gated Attention; dense or sparse MoE with vision encoderSource |
| Input | Text, Image, VideoSource |
| Output | TextSource |
| Reasoning mode | thinking by default; switchable non-thinking/instruct modeSource |
| Tool calling | YesSource |
| Structured output | YesSource |
| Native context window | 262,144 tokensSource |
| Maximum context window | 1,010,000 tokensSource |
| Parameters | 122 BSource |
| Active parameters | 10 BSource |
| Languages | 201 languages and dialectsSource |
| Repository created | 2026-02-24 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source |
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These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
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One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

A community classic for free-form SVG drawing.
Qwen 3.5 122B A10B

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)48.6 / 100
| Type | Evidence and data date |
|---|---|
| Speed | Alibaba. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026. |
| Price | Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. |
| Input | Documented modalities. Retrieved September 8, 2026. |
| Output | Documented modalities. Retrieved September 8, 2026. |
| Research status | Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | knowledge-cutoff Original wording No exact training-data cutoff was stated in the checked official card/report. |
| Additional source | Model metadata (retrieved September 8, 2026) |
| Additional source | Alibaba Cloud Model Studio visual understanding · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |