DeepSeek-V4.1-Flash / Chat
Lightweight flagship of DeepSeek's new Causal Encoder-Decoder family. 552B-parameter MoE with asymmetric activation—8B for input, 16B for output—delivering flagship-level intelligence at significantly lower inference cost . Native multimodal vision understanding. 1M-token context window with 384K max output. KV cache compressed to 1/4 HBM and 1/8 SSD of previous generation . Outperforms V4-Pro on Terminal-Bench 2.1 (90.6), DeepSWE v1.1 (74.2), and CyberGym (88.1)
Playground Chat
Démarrez une conversation avec le modèle IA. Vous pouvez poser toutes vos questions.
Les réponses générées par l'IA peuvent varier en précision.
Détails des tarifs
La facturation réelle de ce modèle est calculée dynamiquement en fonction des paramètres spécifiques de votre requête API. Voici les combinaisons spécifiques et leurs tarifs correspondants :
- Pour les requêtes effectuées en semaine (lun-ven) durant 09:00 - 12:00, 14:00 - 18:00 (UTC+8), un multiplicateur de prix de 2x est appliqué.
| Modalité | Crédits d'entrée | Crédits de sortie | Prix d'entrée | Prix de sortie | Cache implicite | Cache explicite | Création de cache |
|---|---|---|---|---|---|---|---|
| Standard | 150/ 1M Tokens | 600/ 1M Tokens | $0.150 | $0.600 | $0.003 3/ 1M Tokens | $0.003 3/ 1M Tokens | -- |
Models from the Same Channel
Explore complementary models and alternative versions from the same provider channel.
DeepSeek V3.2
deepseek-v3-2-251201
The official version of DeepSeek-V3.2 balances reasoning capability and output length, making it suitable for daily use—such as question-answering scenarios and general Agent task scenarios.
Seed 2.0 Pro
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Focused on long-chain reasoning and stability in complex task execution, designed for complex real-world business scenarios.
Seed 2.0 Lite
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Balances generation quality and response speed, making it a strong general-purpose production model.
Seed 2.0 Mini
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Built for low-latency, high-concurrency, cost-sensitive use cases, with flexible deployment, four-tier thinking, and multimodal understanding.
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