Qwen3.8 27B model profile

Profile facts

Profile type

Model research profile

Provider or publisher

Alibaba Qwen

Context window

1,000,000 tokens

Snapshot date

2026-10-13

Knowledge cutoff

Not disclosed

Reference catalog ID

qwen/qwen3.8-27b

When to pick Qwen3.8 27B

Qwen3.8 27B 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 2026-10-13 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.
• Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across xhigh, medium, low, so one route can serve both cheap and deep work.
• 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 27B 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

235,929 tokens

Input modalities

text, image, and video

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be enabled or disabled.

Reference model ID

qwen/qwen3.8-27b

Canonical version

qwen/qwen3.8-27b-20260814

Hugging Face ID

Qwen/Qwen3.8-27B

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, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, 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 $0.02 input and $0.5 output per million tokens. Cached input is $0.0039 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

2026-10-13

Input

$0.02 per 1M tokens

Cached input

$0.0039 per 1M tokens

Output

$0.5 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 20 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

19

Best p50 latency

0.43 s

Best p50 throughput

520.5 tok/s

Availability with routing

99.62% over the sampled window

Availability without routing

97.62% over the sampled window

Performance date

2026-10-13

Benchmark evidence and limitations

The 2026-10-13 snapshot includes 3 Artificial Analysis indexes and AutoExacto results for 22 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

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

Intelligence Index

33.7

Coding Index

68.1

Agentic Index

45.8

AutoExacto coverage

22 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

Qwen3.8 27B ranked #46 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#46

Global market share

Not inferred

Observation date

2026-10-13

Frequently asked questions

Sources and evidence dates

1. Qwen3.8 27B third-party catalog record (catalog, checked 2026-10-13)
2. Third-party model catalog methodology (methodology, checked 2026-10-13)
3. Alibaba Qwen official model documentation (primary, checked 2026-10-13)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
5. Qwen3.8 27B third-party catalog record (benchmark, checked 2026-10-13)