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Tencent: Hy4 preview

Descrizione della fonte (inglese)

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
1.048.576 tokens
Output massimo
64.000 tokens
Architettura
text->text
Tokenizer
Other
Limite di conoscenza
Non indicato
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.834
per milione di token
Output
$2.501
per milione di token
Lettura cache
$0.042
per milione di token
API

Configurazione del modello

Ragionamento

Ragionamento obbligatorio
No
Parametri predefiniti
high
Capacità e modalità
high, low, none
API

Avvio rapido

Imposta OPENROUTER_API_KEY localmente. Python richiede requests; JavaScript viene eseguito in Node.js. Conserva la chiave sul server.

Documentazione API

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"tencent/hy4-preview","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
text
Output
text
Ragionamento

Sì · high · low · none

API

Parametri API supportati

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_completion_tokensmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Provider disponibili

5 provider

Verificato: 26 ottobre 2026

Provider live su OpenRouter

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

OpenRouter

DeepInfra

fp4
Contesto
1.0M
Output massimo
131K
Input
$0.7923
Output
$2.376
Lettura cache
$0.0399
Scrittura cache
Non indicato

Cohere

Non indicato
Contesto
262K
Output massimo
131K
Input
$0.834
Output
$2.501
Lettura cache
$0.042
Scrittura cache
Non indicato

Novita

fp8
Contesto
1M
Output massimo
64K
Input
$0.834
Output
$2.501
Lettura cache
$0.042
Scrittura cache
Non indicato

SiliconFlow

fp8
Contesto
1.0M
Output massimo
262K
Input
$0.834
Output
$2.501
Lettura cache
$0.042
Scrittura cache
Non indicato

Tencent

fp8
Contesto
1.0M
Output massimo
64K
Input
$0.834
Output
$2.501
Lettura cache
$0.042
Scrittura cache
Non indicato
tencent

4 modelli

Tutti i modelli
tencent logotencent

Tencent: Hy Image 3.5 Preview

Hy Image 3.5 Preview is a unified image generation and editing model from Tencent. It handles text-to-image, image-to-image, and multi-turn editing through one endpoint, taking up to 20 reference images...

Contesto
100K
Input
text · image
Output
image
Output immagine: $1.6 per milione di token
Vedi i dettagli del modello →
tencent logotencent

Tencent: Hy-MT2-1.8B

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...

Contesto
8K
Input
text
Output
text
Input: $0.044Output: $0.177per milione di token
Vedi i dettagli del modello →
tencent logotencent

Tencent: Hy-MT2-30B-A3B

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...

Contesto
8K
Input
text
Output
text
Input: $0.074Output: $0.295per milione di token
Vedi i dettagli del modello →
tencent logotencent

Tencent: Hy-MT2-7B

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

Contesto
8K
Input
text
Output
text
Input: $0.074Output: $0.295per milione di token
Vedi i dettagli del modello →