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Qwen: Qwen3.8 27B

Source description (English)

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...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
1,000,000 tokens
Maximum output
131,072 tokens
Architecture
text+image+video->text
Tokenizer
Qwen
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.42
per 1M tokens
Output
$3
per 1M tokens
Cache read
$0.085
per 1M tokens
API

Model configuration

Default parameters

temperature
1
top_p
0.95
top_k
20

Reasoning

Reasoning required
No
Default parameters
xhigh
Capabilities
xhigh, medium, low
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.8-27b","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
textimagevideo
Output
text
Reasoning

Yes · xhigh · medium · low

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_atop_ktop_logprobstop_p
Available providers

17 providers

Checked: September 22, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Darkbloom

fp4
Context
262K
Maximum output
33K
Input
$0.1
Output
$1.8
Cache read
Not provided
Cache write
Not provided

DekaLLM

Not provided
Context
262K
Maximum output
236K
Input
$0.12
Output
$2.5
Cache read
$0.05
Cache write
Not provided

Reka

fp8
Context
262K
Maximum output
131K
Input
$0.12
Output
$2.5
Cache read
$0.05
Cache write
Not provided

DeepInfra

bf16
Context
262K
Maximum output
236K
Input
$0.15
Output
$1.875
Cache read
$0.0375
Cache write
Not provided

Phala

Not provided
Context
262K
Maximum output
236K
Input
$0.1992
Output
$2.075
Cache read
$0.0415
Cache write
Not provided

Wafer

Not provided
Context
262K
Maximum output
236K
Input
$0.2
Output
$2.5
Cache read
$0.05
Cache write
Not provided

Mancer 2

fp8
Context
262K
Maximum output
236K
Input
$0.2
Output
$2.5
Cache read
Not provided
Cache write
Not provided

Parasail

fp8
Context
262K
Maximum output
236K
Input
$0.24
Output
$2.2
Cache read
$0.05
Cache write
Not provided

Chutes

fp8
Context
262K
Maximum output
66K
Input
$0.24
Output
$2.2
Cache read
$0.024
Cache write
Not provided

AkashML

fp8
Context
262K
Maximum output
131K
Input
$0.25
Output
$2.2
Cache read
$0.05
Cache write
Not provided

Ionstream

fp8
Context
262K
Maximum output
66K
Input
$0.28
Output
$2.55
Cache read
$0.1
Cache write
Not provided

Io Net

fp8
Context
66K
Maximum output
59K
Input
$0.285
Output
$2.66
Cache read
$0.171
Cache write
Not provided

CoreWeave

fp8
Context
262K
Maximum output
236K
Input
$0.4
Output
$3
Cache read
$0.15
Cache write
Not provided

Novita

Not provided
Context
1M
Maximum output
131K
Input
$0.42
Output
$3
Cache read
$0.085
Cache write
Not provided

Alibaba

Not provided
Context
1M
Maximum output
131K
Input
$0.425
Output
$2.55
Cache read
$0.085
Cache write
$0.5313

Cloudflare

Not provided
Context
262K
Maximum output
236K
Input
$0.45
Output
$3.2
Cache read
$0.05
Cache write
Not provided

Venice

fp8
Context
262K
Maximum output
66K
Input
$0.45
Output
$3.2
Cache read
Not provided
Cache write
Not provided
qwen

4 models

All models
qwen logoqwen

Qwen: Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

Context
1M
Input
text · image · audio · video
Output
text
Input: $0.15Output: $0.47per 1M tokens
View model details →
qwen logoqwen

Qwen: Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

Context
1M
Input
text · image · video
Output
text
Input: $2Output: $6per 1M tokens
View model details →
qwen logoqwen

Qwen: 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.

Context
1M
Input
text · image · video
Output
text
Input: $0.15Output: $0.47per 1M tokens
View model details →
qwen logoqwen

Qwen: Qwen3.8 27B (free)

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...

Context
262K
Input
text · image · video
Output
text
Input: FreeOutput: Freeper 1M tokens
View model details →