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DeepSeek: DeepSeek V3.2 Exp

Descrizione della fonte (inglese)

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
163.840 tokens
Output massimo
147.456 tokens
Architettura
text->text
Tokenizer
DeepSeek
Limite di conoscenza
2025-07-31
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.27
per milione di token
Output
$0.41
per milione di token
API

Configurazione del modello

Parametri predefiniti

temperature
0.6
top_p
0.95

Ragionamento

Ragionamento obbligatorio
No
Parametri predefiniti
No
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":"deepseek/deepseek-v3.2-exp","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
text
Output
text
Ragionamento

No

API

Parametri API supportati

frequency_penaltyinclude_reasoningmax_tokensreasoningresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Provider disponibili

1 Provider

Verificato: 2 ottobre 2026

Provider live su OpenRouter

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

OpenRouter

SiliconFlow

fp8
Contesto
164K
Output massimo
147K
Input
$0.27
Output
$0.41
Lettura cache
Non indicato
Scrittura cache
Non indicato
deepseek

4 modelli

Tutti i modelli
deepseek logodeepseek

DeepSeek: DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model...

Contesto
1.0M
Input
text · image
Output
text
Input: $0.15Output: $0.6per milione di token
Vedi i dettagli del modello →
deepseek logodeepseek

DeepSeek: DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

Contesto
1.0M
Input
text · image
Output
text
Input: $0.02Output: $1per milione di token
Vedi i dettagli del modello →
deepseek logodeepseek

DeepSeek: DeepSeek V4.1 Flash (batch)

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

Contesto
1.0M
Input
text · image
Output
text
Input: $0.05Output: $0.15per milione di token
Vedi i dettagli del modello →
deepseek logodeepseek

DeepSeek: DeepSeek V4 Flash Vision Exp

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

Contesto
1.0M
Input
text · image
Output
text
Input: $0.2156Output: $0.6468per milione di token
Vedi i dettagli del modello →