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Qwen3.8 Flash

Qwen

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

Open in Graph
data quality50

Updated 11 h ago · first seen 11 Sept 2026

model_01M294WVPZ414HS0N3YM40G6EE

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 11 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 11 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 11 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 11 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 11 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 11 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 11 h agomedium

Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
OpenRouterqwen/qwen3.8-flash$0.15$0.47$0.0161M10 h agoopenrouter.aiT2
Together AIqwen3-8-flash$0.15$0.4710 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 Qwen3.8 Flash$0$0.20$0.40$0.60Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.47 · 11 Sept 2026Together AI: first observed → $0.47 · 11 Sept 2026
  • OpenRouter
  • Together AI
  • Together AIfirst observed $0.4711 Sept 2026
  • OpenRouterfirst observed $0.4711 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of Qwen3.8 Flash$0$0.05$0.10$0.15$0.20Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.15 · 11 Sept 2026Together AI: first observed → $0.15 · 11 Sept 2026
  • OpenRouter
  • Together AI
  • Together AIfirst observed $0.1511 Sept 2026
  • OpenRouterfirst observed $0.1511 Sept 2026
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS2 quantizationsartifacts · collapsed2 quantizations — artifacts · collapsedQwen3.8 Flashthis modelQwen3.8 Flash — this model

    Change history15

    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 22 claims in force

    Release date
    26 Aug 2026
    Openness
    open-weights
    Context window
    1M tokens
    Max output
    131.1K tokens
    Modalities
    image, text, video
    Input modalities
    image, text, video
    Output modalities
    text
    Tokenizer
    Qwen
    Hugging Face repo
    Qwen/Qwen3.8-Flash-Next
    Aa context window
    256,000
    Aa openness
    open-weights
    Livebench hf link
    https://huggingface.co/Qwen/Qwen3.8-Flash-Next
    Aa median output tokens per second
    53.5
    Openrouter id
    qwen/qwen3.8-flash
    Openrouter listed at
    26 Aug 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
    15 claims · 15 properties

    Release daterelease_date1

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

    Context windowcontext_length1

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    1M tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    131.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Modalitiesmodalities1

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

    Input modalitiesmodalities_input1

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

    Output modalitiesmodalities_output1

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

    Tokenizertokenizer1

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

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen/Qwen3.8-Flash-NextcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Descriptiondescription1

    Claim history for Description
    ValueValid from → toStatusSourceConfidenceExtractor
    Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Openrouter idopenrouter_id1

    Claim history for Openrouter id
    ValueValid from → toStatusSourceConfidenceExtractor
    qwen/qwen3.8-flashcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Reasoningreasoning1

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

    Structured outputstructured_output1

    Claim history for Structured output
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter 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_pcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tool callingtool_calling1

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

    Visionvision1

    Claim history for Vision
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter 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

    15

    Source tiers

    T215

    Freshest observation

    11 h ago

    Conflicts

    None

    Source documents 4

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Together AI — pricingtogether.ai/pricing pricingT1· Official10 h ago1
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary10 h ago2
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF model_pageT2· Quality secondary10 h ago1
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-AutoRound model_pageT2· Quality secondary11 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 (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →