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Qwen: Qwen3.8 Max

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...

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Présentation

Caractéristiques du modèle

Context
1 000 000 tokens
Sortie maximale
131 072 tokens
Architecture
text+image+video->text
Tokenizer
Qwen
Limite des connaissances
Not provided
Modéré
Non
Capacités et modalités

Input → Output

Input
textimagevideo
Output
text
Raisonnement

Oui · xhigh · high · medium · low · minimal

API

Paramètres API pris en charge

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Fournisseurs disponibles

1 Fournisseur

Alibaba

unknown
Context
1M
Sortie maximale
131K
Input
$2.00
Output
$6.00
Lecture du cache
$0.250
Écriture du cache
$2.50
qwen

models

Tous les modèles
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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
Voir la fiche du modèle →
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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
Voir la fiche du modèle →
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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
Voir la fiche du modèle →
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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
Voir la fiche du modèle →