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Qwen3.5 397B A17B

Qwen

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

Open in Graph
data quality56

Updated 5 h ago · first seen 11 Sept 2026

model_01M294WW52DV38H37AY2B8FNDD

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

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

Benchmarks10

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 & Pricing2

All offers in the price terminal →
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
OpenRouterqwen/qwen3.5-397b-a17b$0.55$3.5$0.225—262.1K4 h agoopenrouter.aiT2
Together AIqwen3-5-397b-a17b$0.60$3.6$0.35——10 h agotogether.aiT1

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 2 providers

Output price history of Qwen3.5 397B A17B$0$1$2$3$4$5Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $3.5 · 11 Sept 2026Together AI: first observed → $3.6 · 11 Sept 2026
  • OpenRouter
  • Together AI
  • Together AIfirst observed $3.611 Sept 2026
  • OpenRouterfirst observed $3.511 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of Qwen3.5 397B A17B$0$0.20$0.40$0.60$0.80Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.55 · 11 Sept 2026Together AI: first observed → $0.60 · 11 Sept 2026
  • OpenRouter
  • Together AI
  • Together AIfirst observed $0.6011 Sept 2026
  • OpenRouterfirst observed $0.5511 Sept 2026

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS2 quantizationsartifacts · collapsed2 quantizations — artifacts · collapsedQwen3.5 397B A17Bthis modelQwen3.5 397B A17B — this model

    Timeline13

    Full timeline →

    Change history17

    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 21 claims in force

    Release date
    16 Feb 2026
    Openness
    open-weights
    Context window
    262.1K tokens
    Max output
    235.9K tokens
    Modalities
    image, text, video
    Input modalities
    image, text, video
    Output modalities
    text
    Tokenizer
    Qwen3
    Hugging Face repo
    Qwen/Qwen3.5-397B-A17B
    Aa context window
    262,144
    Aa openness
    open-weights
    Aa median output tokens per second
    78
    Openrouter id
    qwen/qwen3.5-397b-a17b
    Openrouter listed at
    16 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
    17 claims · 17 properties

    Release daterelease_date1

    Claim history for Release date
    ValueValid from → toStatusSourceConfidenceExtractor
    16 Feb 2026 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Opennessopenness1

    Claim history for Openness
    ValueValid from → toStatusSourceConfidenceExtractor
    open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic

    Context windowcontext_length1

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    262.1K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    235.9K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Modalitiesmodalities1

    Claim history for Modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    image, text, video → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Input modalitiesmodalities_input1

    Claim history for Input modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    image, text, video → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Output modalitiesmodalities_output1

    Claim history for Output modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tokenizertokenizer1

    Claim history for Tokenizer
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen3 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen/Qwen3.5-397B-A17B → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Descriptiondescription1

    Claim history for Description
    ValueValid from → toStatusSourceConfidenceExtractor
    The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

    Claim history for Aa median output tokens per second
    ValueValid from → toStatusSourceConfidenceExtractor
    79 → currentcurrentArtificial AnalysisT2mediumdeterministic

    Openrouter idopenrouter_id1

    Claim history for Openrouter id
    ValueValid from → toStatusSourceConfidenceExtractor
    qwen/qwen3.5-397b-a17b → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Reasoningreasoning1

    Claim history for Reasoning
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Structured outputstructured_output1

    Claim history for Structured output
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Supported parameterssupported_parameters1

    Claim history for Supported parameters
    ValueValid from → toStatusSourceConfidenceExtractor
    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 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tool callingtool_calling1

    Claim history for Tool calling
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Visionvision1

    Claim history for Vision
    ValueValid from → toStatusSourceConfidenceExtractor
    Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    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 5

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Together AI — pricingtogether.ai/pricing pricingT1· Official5 h ago1
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 h ago6
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/Intel/Qwen3.5-397B-A17B-int4-AutoRound model_pageT2· Quality secondary6 h ago5
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/amd/Qwen3.5-397B-A17B-MXFP4-AttnFP8-V2 model_pageT2· Quality secondary6 h ago5
    Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary10 h ago1

    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 →