Qwen3.8 Flash model profile

Evidence snapshot:

Qwen3.8 Flash is a Alibaba Qwen model profile with a 1,000,000-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

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.

Qwen3.8 Flash is a reference profile: Alibaba Qwen publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Qwen3.8 Flash is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Qwen3.8 Flash accepts text, image, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.

The dated reference snapshot lists $0.15 input and $0.47 output per million tokens. Cached input is $0.016 per million tokens.

No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.

Qwen3.8 Flash ranked #54 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Model research profile
Provider or publisher
Alibaba Qwen
Context window
1,000,000 tokens
Snapshot date
2026-09-06
Knowledge cutoff
Not disclosed
Reference catalog ID
qwen/qwen3.8-flash

When to pick Qwen3.8 Flash

Qwen3.8 Flash is a reference profile: Alibaba Qwen publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

  • Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
  • Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
  • Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

Context, modalities, and identity

Qwen3.8 Flash accepts text, image, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.

Provider or publisher
Alibaba Qwen
Context window
1,000,000 tokens
Maximum output
131,072 tokens
Input modalities
text, image, and video
Output modalities
text
Knowledge cutoff
Not disclosed

Model overview

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.

Reference model ID
qwen/qwen3.8-flash
Canonical version
qwen/qwen3.8-flash-20260826
Hugging Face ID
Qwen/Qwen3.8-Flash-Next

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

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
  • prompt caching
  • reasoning controls
  • structured output
  • text generation
  • tool calling
  • video input
  • vision

Dated pricing snapshot

The dated reference snapshot lists $0.15 input and $0.47 output per million tokens. Cached input is $0.016 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date
2026-09-06
Input
$0.15 per 1M tokens
Cached input
$0.016 per 1M tokens
Output
$0.47 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints
1
Best p50 latency
2.24 s
Best p50 throughput
56 tok/s
Availability with routing
99.74% over the sampled window
Availability without routing
99.73% over the sampled window
Performance date
2026-09-06
ProviderQuantizationInput / 1MOutput / 1MCache read / 1MContextp50 latencyp50 throughputUptime (1d)
Alibaba Cloud Int.unknown$0.15 / 1M$0.47 / 1M$0.016 / 1M1,000,000 tokens2.24 s56 tok/s100.00%

Benchmark evidence and limitations

No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Popularity and market context

Qwen3.8 Flash ranked #54 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank
#54
Global market share
Not inferred
Observation date
2026-09-06

Frequently asked questions

When should I use Qwen3.8 Flash?

Qwen3.8 Flash is a reference profile: Alibaba Qwen publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

What is Qwen3.8 Flash?

Qwen3.8 Flash is a Alibaba Qwen model profile with a 1,000,000-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

What context window does Qwen3.8 Flash have?

The dated profile lists 1,000,000 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Qwen3.8 Flash?

No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is Qwen3.8 Flash available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent Qwen3.8 Flash's global market share?

Qwen3.8 Flash ranked #54 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.

Sources and evidence dates

  1. Qwen3.8 Flash third-party catalog record (catalog, checked 2026-09-06)
  2. Third-party model catalog methodology (methodology, checked 2026-09-06)
  3. Alibaba Qwen official model documentation (primary, checked 2026-09-06)