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Qwen: Qwen3.5-27B
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/qwen3.5-27b
- OpenRouter ID
- qwen/qwen3.5-27b
- Canonical slug
- qwen/qwen3.5-27b-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 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.
Raw fields snapshot
{
"id": "qwen/qwen3.5-27b",
"name": "Qwen: Qwen3.5-27B",
"description": "The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.",
"created": 1772053810,
"canonical_slug": "qwen/qwen3.5-27b-20260224",
"hugging_face_id": "Qwen/Qwen3.5-27B",
"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": 0.6,
"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": "0.0000003",
"completion": "0.0000024"
},
"PPM": {
"prompt": 0.3,
"completion": 2.4
},
"openrouter_raw": {
"id": "qwen/qwen3.5-27b",
"canonical_slug": "qwen/qwen3.5-27b-20260224",
"hugging_face_id": "Qwen/Qwen3.5-27B",
"name": "Qwen: Qwen3.5-27B",
"created": 1772053810,
"description": "The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.",
"context_length": 262144,
"architecture": {
"modality": "text+image+video->text",
"input_modalities": [
"text",
"image",
"video"
],
"output_modalities": [
"text"
],
"tokenizer": "Qwen3",
"instruct_type": null
},
"pricing": {
"prompt": "0.0000003",
"completion": "0.0000024"
},
"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": 0.6,
"top_p": 0.95,
"frequency_penalty": null
},
"expiration_date": null
}
}