Qwen3.8 Flash
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.
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
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 $0.4711 Sept 2026
- OpenRouterfirst observed $0.4711 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenRouter
- Together AI
- Together AIfirst observed $0.1511 Sept 2026
- OpenRouterfirst observed $0.1511 Sept 2026
Lineage
Open in Graph →Timeline3
Full timeline →Together AI lists Qwen3.8 Flash at $0.15 in / $0.47 out per 1M tokens
together_pricingOpenRouter lists Qwen3.8 Flash at $0.15 in / $0.47 out per 1M tokens
openrouter
Change history15
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
Release daterelease_date1
Context windowcontext_length1
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
Hugging Face repohf_repo1
Descriptiondescription1
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
15
Source tiers
T215
Freshest observation
11 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 (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →