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Qwen: Qwen3 VL 32B Instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. $0.104 per million input tokens, $0.416 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Includes independent benchmarks from Artificial Analysis.

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
131.072 tokens
Output massimo
32.768 tokens
Architettura
text+image->text
Tokenizer
Qwen
Limite di conoscenza
Non indicato
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.104
/M tokens
Output
$0.416
/M tokens
API

Configurazione del modello

Parametri predefiniti

temperature
0.7
top_p
0.8
top_k
20
repetition_penalty
1
API

Avvio rapido

Chiama questo modello tramite l’API compatibile OpenAI di OpenRouter.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-vl-32b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
textimage
Output
text
API

Parametri API supportati

frequency_penaltylogprobsmax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Provider disponibili

1 Provider

Provider live su OpenRouter

Disponibilità, latenza, throughput e routing cambiano continuamente. Consulta la fonte per i dati correnti.

OpenRouter

Alibaba

unknown
Contesto
131K
Output massimo
33K
Input
$0.104
Output
$0.416
Lettura cache
Non indicato
Scrittura cache
Non indicato
qwen

modelli

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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.

Contesto
1M
Input
text · image · video
Output
text
Input: $0.150Output: $0.470per milione di token
Vedi i dettagli del modello →
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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...

Contesto
1M
Input
text · image · video
Output
text
Input: $0.425Output: $2.55per milione di token
Vedi i dettagli del modello →
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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...

Contesto
41K
Input
text
Output
rerank
Input: GratuitoOutput: Gratuitoper milione di token
Vedi i dettagli del modello →
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...

Contesto
Non indicato
Input
audio
Output
transcription
Input: $7.50Output: Gratuitoper milione di token
Vedi i dettagli del modello →