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Qwen: Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. $0.40 per million input tokens, $4 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Higher uptime with 2 providers. 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
Qwen3
Limite di conoscenza
2025-03-31
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.4
/M tokens
Output
$4
/M tokens
API

Configurazione del modello

Parametri predefiniti

temperature
0.8
top_p
0.95
top_k
20
repetition_penalty
1

Ragionamento

Moderato
Sì
Parametri predefiniti
No
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-235b-a22b-thinking","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
textimage
Output
text
Ragionamento

No

API

Parametri API supportati

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Provider disponibili

2 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
$0.400
Output
$4.00
Lettura cache
Non indicato
Scrittura cache
Non indicato

Novita

bf16
Contesto
131K
Output massimo
33K
Input
$0.980
Output
$3.95
Lettura cache
Non indicato
Scrittura cache
Non indicato
qwen

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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
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Input
text · image · video
Output
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Input: $0.150Output: $0.470per milione di token
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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 →
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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...

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