← Back to explorer
Qwen: Qwen3.5-35B-A3B
Server-rendered model summary page for indexing/share previews. Use the interactive explorer for full filtering and comparison.
Match confidence: UnmatchedSource type: openrouter_only
Context window
262.1K
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- qwen/qwen3.5-35b-a3b
- OpenRouter ID
- qwen/qwen3.5-35b-a3b
- Canonical slug
- qwen/qwen3.5-35b-a3b-20260224
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
Description
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B.
Raw fields snapshot
{
"id": "qwen/qwen3.5-35b-a3b",
"name": "Qwen: Qwen3.5-35B-A3B",
"description": "The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B.",
"created": 1772053822,
"canonical_slug": "qwen/qwen3.5-35b-a3b-20260224",
"hugging_face_id": "Qwen/Qwen3.5-35B-A3B",
"source_type": "openrouter_only",
"context_length": 262144,
"max_completion_tokens": 65536,
"is_moderated": false,
"architecture": {
"modality": "text+image+video->text",
"input_modalities": [
"text",
"image",
"video"
],
"output_modalities": [
"text"
],
"tokenizer": "Qwen3",
"instruct_type": null
},
"input_modalities": [
"text",
"image",
"video"
],
"output_modalities": [
"text"
],
"modality": "text+image+video->text",
"tokenizer": "Qwen3",
"instruct_type": null,
"supported_parameters": [
"include_reasoning",
"logprobs",
"max_tokens",
"presence_penalty",
"reasoning",
"response_format",
"seed",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_logprobs",
"top_p"
],
"default_parameters": {
"temperature": 1,
"top_p": 0.95,
"frequency_penalty": null
},
"per_request_limits": null,
"top_provider": {
"context_length": 262144,
"max_completion_tokens": 65536,
"is_moderated": false
},
"pricing": {
"prompt": "0.00000025",
"completion": "0.000002"
},
"PPM": {
"prompt": 0.25,
"completion": 2
},
"openrouter_raw": {
"id": "qwen/qwen3.5-35b-a3b",
"canonical_slug": "qwen/qwen3.5-35b-a3b-20260224",
"hugging_face_id": "Qwen/Qwen3.5-35B-A3B",
"name": "Qwen: Qwen3.5-35B-A3B",
"created": 1772053822,
"description": "The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B.",
"context_length": 262144,
"architecture": {
"modality": "text+image+video->text",
"input_modalities": [
"text",
"image",
"video"
],
"output_modalities": [
"text"
],
"tokenizer": "Qwen3",
"instruct_type": null
},
"pricing": {
"prompt": "0.00000025",
"completion": "0.000002"
},
"top_provider": {
"context_length": 262144,
"max_completion_tokens": 65536,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"include_reasoning",
"logprobs",
"max_tokens",
"presence_penalty",
"reasoning",
"response_format",
"seed",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_logprobs",
"top_p"
],
"default_parameters": {
"temperature": 1,
"top_p": 0.95,
"frequency_penalty": null
},
"expiration_date": null
}
}