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Qwen: Qwen3.7 Plus

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. $0.32 per million input tokens, $1.28 per million output tokens. 1,000,000 token context window, maximum output of 131,072 tokens. Includes independent benchmarks from Artificial Analysis.

Vedi la fonte su OpenRouter
Panoramica

Specifiche del modello

Contesto
1.000.000 tokens
Output massimo
131.072 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
$0.32
/M tokens
  • ≤256K$0.32
  • >256K$0.96
Output
$1.28
/M tokens
  • ≤256K$1.28
  • >256K$3.84
Lettura cache
$0.064
/M tokens
  • ≤256K$0.064
  • >256K$0.192
Cache Creation (5min)
$0.4
/M tokens
  • ≤256K$0.4
  • >256K$1.2
Cache Read (5min)
$0.032
/M tokens
  • ≤256K$0.032
  • >256K$0.096
API

Configurazione del modello

Ragionamento

Moderato
No
Parametri predefiniti
Sì
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/qwen3.7-plus","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
textimage
Output
text
Ragionamento

Sì

API

Parametri API supportati

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_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
1M
Output massimo
131K
Input
$0.320
Output
$1.28
Lettura cache
$0.064
Scrittura cache
$0.400
qwen

modelli

Tutti i modelli
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.

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

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

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 →