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Qwen: Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
1,048,576 tokens
Maximum output
262,144 tokens
Architecture
text->text
Tokenizer
Qwen
Knowledge cutoff
Not provided
Moderated
No
Capabilities

Input → Output

Input
text
Output
text
Reasoning

Yes · xhigh · medium · low

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

7 providers

DeepInfra

fp4
Context
262K
Maximum output
131K
Input
$2.00
Output
$6.00
Cache read
$0.200
Cache write
Not provided

Modal

unknown
Context
1M
Maximum output
262K
Input
$2.00
Output
$6.00
Cache read
$0.250
Cache write
Not provided

Novita

unknown
Context
1M
Maximum output
131K
Input
$2.00
Output
$6.00
Cache read
$0.250
Cache write
Not provided

SiliconFlow

fp8
Context
1.0M
Maximum output
131K
Input
$2.00
Output
$6.00
Cache read
$0.250
Cache write
Not provided

Alibaba

unknown
Context
1M
Maximum output
131K
Input
$2.00
Output
$6.00
Cache read
$0.250
Cache write
$2.50

Together

unknown
Context
1.0M
Maximum output
909K
Input
$2.50
Output
$6.25
Cache read
$0.500
Cache write
Not provided

Venice

unknown
Context
262K
Maximum output
66K
Input
$2.50
Output
$7.50
Cache read
$0.313
Cache write
Not provided
qwen

models

All models
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: $0.150Output: $0.470per 1M tokens
View model details →
qwen logoqwen

Qwen: Qwen3.8 27B

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
1M
Input
text · image · video
Output
text
Input: $0.425Output: $2.55per 1M tokens
View model details →
qwen logoqwen

Qwen3 Reranker 8B

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG...

Context
41K
Input
text
Output
rerank
Input: FreeOutput: Freeper 1M tokens
View model details →
qwen logoqwen

Qwen: Qwen3 ASR 1.7B

Qwen3 ASR 1.7B is an automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference...

Context
Not provided
Input
audio
Output
transcription
Input: $7.50Output: Freeper 1M tokens
View model details →