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Qwen: Qwen3.5-Flash
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
1M
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- qwen/qwen3.5-flash-02-23
- OpenRouter ID
- qwen/qwen3.5-flash-02-23
- Canonical slug
- qwen/qwen3.5-flash-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 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
Raw fields snapshot
{
"id": "qwen/qwen3.5-flash-02-23",
"name": "Qwen: Qwen3.5-Flash",
"description": "The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.",
"created": 1772053776,
"canonical_slug": "qwen/qwen3.5-flash-20260224",
"hugging_face_id": null,
"source_type": "openrouter_only",
"context_length": 1000000,
"max_completion_tokens": 65536,
"is_moderated": false,
"architecture": {
"modality": "text+image+video->text",
"input_modalities": [
"text",
"image",
"video"
],
"output_modalities": [
"text"
],
"tokenizer": "Qwen3",
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},
"input_modalities": [
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"video"
],
"output_modalities": [
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],
"modality": "text+image+video->text",
"tokenizer": "Qwen3",
"instruct_type": null,
"supported_parameters": [
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"default_parameters": {
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"per_request_limits": null,
"top_provider": {
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"pricing": {
"prompt": "0.0000001",
"completion": "0.0000004"
},
"PPM": {
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"completion": 0.4
},
"openrouter_raw": {
"id": "qwen/qwen3.5-flash-02-23",
"canonical_slug": "qwen/qwen3.5-flash-20260224",
"hugging_face_id": null,
"name": "Qwen: Qwen3.5-Flash",
"created": 1772053776,
"description": "The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.",
"context_length": 1000000,
"architecture": {
"modality": "text+image+video->text",
"input_modalities": [
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],
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],
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"instruct_type": null
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},
"top_provider": {
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"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"include_reasoning",
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],
"default_parameters": {
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},
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}
}