Qwen3.6 Plus
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
Updated 5 h ago · first seen 11 Sept 2026
model_01M294WW1SP6SVRBBDCT623XB6
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
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
Benchmarks16
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
Providers & Pricing2
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 2 providers
- OpenRouter
- Together AI
- Together AIfirst observed $311 Sept 2026
- OpenRouterfirst observed $1.9511 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenRouter
- Together AI
- Together AIfirst observed $0.5011 Sept 2026
- OpenRouterfirst observed $0.32511 Sept 2026
Timeline19
Full timeline →Qwen3.6 Plus scores 43.94% on Terminal-Bench
artificial_analysisQwen3.6 Plus scores 61.42% on Terminal-Bench
artificial_analysisQwen3.6 Plus scores 27.85% on Humanity's Last Exam
artificial_analysisQwen3.6 Plus scores 27.01 on Artificial Analysis Intelligence Index
artificial_analysisTogether AI lists Qwen3.6 Plus at $0.5 in / $3 out per 1M tokens
together_pricingOpenRouter lists Qwen3.6 Plus at $0.325 in / $1.95 out per 1M tokens
openrouter
Change history17
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 22 claims in force
- Release date
- 2 Apr 2026
- Status
- deprecated
- Openness
- proprietary
- Context window
- 1M tokens
- Max output
- 65.5K tokens
- Modalities
- image, text, video
- Input modalities
- image, text, video
- Output modalities
- text
- Tokenizer
- Qwen3
- Aa context window
- 1,000,000
- Aa deprecated
- Yes
- Aa openness
- proprietary
- Aa median output tokens per second
- 56.1
- Openrouter id
- qwen/qwen3.6-plus
- Openrouter listed at
- 2 Apr 2026
- Reasoning
- Yes
- Structured output
- Yes
- Supported parameters
- frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- Tool calling
- Yes
- Vision
- Yes
- Weights available
- No
Release daterelease_date1
Statusstatus1
Opennessopenness1
Context windowcontext_length1
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
Descriptiondescription1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
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
18
Source tiers
T218
Freshest observation
5 h ago
Conflicts
None
Source documents 4
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 →