ModelDeprecated

Qwen3.5-27B

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...

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data quality56

Updated 5 h ago · first seen 11 Sept 2026

model_01M294WW46MKCMBR8QYTQXBZ19

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Status: Source:Artificial AnalysisT2observed 10 h agomedium
Openrouter id: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Architecture

Tokenizer: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Hugging Face repo: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Capabilities

Modalities

Modalities: imagetextvideo
Input: imagetextvideo
Output: text

Capabilities

Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable

Context window: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Max output: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Tokenizer: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Benchmarks7

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Providers & Pricing1

All offers in the price terminal →

Current prices per 1M tokens
Provider	Input / 1M	Output / 1M	Cached in	Batch in / out	Context	Observed	Source
OpenRouterqwen/qwen3.5-27b	$0.195	$1.56	—	—	262.1K	5 h ago	openrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

OpenRouter

OpenRouterfirst observed $1.5611 Sept 2026

Input price · USD / 1M tokens 1 provider

OpenRouter

OpenRouterfirst observed $0.19511 Sept 2026

Timeline9

Full timeline →

11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 32.58% on Terminal-Bench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 93.86% on τ²-bench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 75.03% on MMMU-Pro
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 75.58% on IFBench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 23.91% on Humanity's Last Exam
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 85.76% on GPQA
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelQwen3.5-27BQwen
Qwen3.5-27B scores 22.9 on Artificial Analysis Intelligence Index
artificial_analysis
artificialanalysis.ai
25 Feb 2026
New modelModelQwen3.5-27BQwen
New model: Qwen3.5-27B (Qwen)
openrouter
openrouter.ai
11 Sept 2026
Listed by providerModelQwen3.5-27BQwen
OpenRouter lists Qwen3.5-27B at $0.195 in / $1.56 out per 1M tokens
openrouter
openrouter.ai

Change history18

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 12 Sept 2026 23 claims in force

Release date: 25 Feb 2026
Status: deprecated
Openness: open-weights
Context window: 262.1K tokens
Max output: 65.5K tokens
Modalities: image, text, video
Input modalities: image, text, video
Output modalities: text
Tokenizer: Qwen3
Hugging Face repo: Qwen/Qwen3.5-27B
Aa context window: 262,144
Aa deprecated: Yes
Aa openness: open-weights
Aa median output tokens per second: 76
Openrouter id: qwen/qwen3.5-27b
Openrouter listed at: 25 Feb 2026
Reasoning: Yes
Structured output: Yes
Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Tool calling: Yes
Vision: Yes
Weights available: Yes

18 claims · 18 properties

Release daterelease_date1

Claim history for Release date
Value	Valid from → to	Status	Source	Confidence	Extractor
25 Feb 2026	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Statusstatus1

Claim history for Status
Value	Valid from → to	Status	Source	Confidence	Extractor
deprecated	11 Sept 2026 22:42 UTC → current	current	Artificial AnalysisT2	medium	deterministic

Opennessopenness1

Claim history for Openness
Value	Valid from → to	Status	Source	Confidence	Extractor
open-weights	11 Sept 2026 22:42 UTC → current	current	Artificial AnalysisT2	medium	deterministic

Context windowcontext_length1

Claim history for Context window
Value	Valid from → to	Status	Source	Confidence	Extractor
262.1K tokens	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Max outputmax_output_tokens1

Claim history for Max output
Value	Valid from → to	Status	Source	Confidence	Extractor
65.5K tokens	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Modalitiesmodalities1

Claim history for Modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
image, text, video	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Input modalitiesmodalities_input1

Claim history for Input modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
image, text, video	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Output modalitiesmodalities_output1

Claim history for Output modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Tokenizertokenizer1

Claim history for Tokenizer
Value	Valid from → to	Status	Source	Confidence	Extractor
Qwen3	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
Value	Valid from → to	Status	Source	Confidence	Extractor
Qwen/Qwen3.5-27B	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Descriptiondescription1

Claim history for Description
Value	Valid from → to	Status	Source	Confidence	Extractor
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...	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

Claim history for Aa median output tokens per second
Value	Valid from → to	Status	Source	Confidence	Extractor
75.2	11 Sept 2026 22:42 UTC → current	current	Artificial AnalysisT2	medium	deterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
Value	Valid from → to	Status	Source	Confidence	Extractor
qwen/qwen3.5-27b	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Reasoningreasoning1

Claim history for Reasoning
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Structured outputstructured_output1

Claim history for Structured output
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Supported parameterssupported_parameters1

Claim history for Supported parameters
Value	Valid from → to	Status	Source	Confidence	Extractor
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Tool callingtool_calling1

Claim history for Tool calling
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Visionvision1

Claim history for Vision
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

Source tiers

T219

Freshest observation

5 h ago

Conflicts

None

Source documents 2

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
OpenRouter public model & pricing listing	openrouter.ai/api/v1/models	catalogue	T2· Quality secondary	5 h ago	5
Artificial Analysis	artificialanalysis.ai/leaderboards/models	leaderboard	T2· Quality secondary	10 h ago	1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →