DeepSeek-V4.1-Flash model official release. This is the smallest model in DeepSeek’s new model-architecture series, featuring native multimodal visual understanding capabilities. The new architecture is designed to deliver a higher capability ceiling, faster inference speeds, greater throughput, and scalability to larger-parameter models.
Pricing
Modalités d'entrée
- Text
- Vision
Modalités de sortie
- Text
Context length
- 1M tokens
Max output
- 384K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Structured decision
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Fournisseurs
Bytedance doubao-deepseek-v4.1-flash
Heures creuses04:00–06:00, 10:00–01:00 UTC
Pricing$0.1408$0.5632
Cache Storage$0.0024/h/M tokens
Cache Read$0.0028/M tokens
Web Search$0.0031/request
Heures pleines01:00–04:00, 06:00–10:00 UTC
Pricing$0.2816$1.1264
Cache Storage$0.0024/h/M tokens
Cache Read$0.0056/M tokens
Web Search$0.0031/request
PrecisionⓘNot Disclosed
Latency5.0S
Throughput70.9TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
99.98% uptime today
Baidu baidu-deepseek-v4.1-flash
Heures creuses14:00–00:00 UTC
Pricing$0.1408$0.5632
Cache Read$0.0028/M tokens
Heures pleines00:00–14:00 UTC
Pricing$0.2816$1.1264
Cache Read$0.0056/M tokens
PrecisionⓘNot Disclosed
Latency2.8S
Throughput86.0TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
99.95% uptime today
Tencent tencent-deepseek-v4.1-flash
Heures creuses04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Heures pleines01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
PrecisionⓘNot Disclosed
Latency1.8S
Throughput8.1TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Pareto pareto-deepseek-v4.1-flash
Heures creuses04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Web Search$0.00077/request
Heures pleines01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
Web Search$0.00077/request
PrecisionⓘNot Disclosed
Latency1.0S
Throughput15.3TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Alibaba Cloud alicloud-deepseek-v4.1-flash
Heures creuses14:00–00:00 UTC
Pricing$0.1408$0.5632
Cache Read$0.0141/M tokens
Web Search$0.00062/request
Heures pleines00:00–14:00 UTC
Pricing$0.2816$1.1264
Cache Read$0.0282/M tokens
Web Search$0.00062/request
PrecisionⓘNot Disclosed
Latency15.9S
Throughput30.1TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Morph morph-deepseek-v4.1-flash
Heures creuses04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Heures pleines01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
PrecisionⓘNot Disclosed
Latency0.7S
Throughput22.6TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Azure azure-deepseek-v4.1-flash
Pricing$0.3$1.2
Cache$0.006
PrecisionⓘNot Disclosed
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Deepinfra deepinfra-deepseek-v4.1-flash
Heures creuses04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Heures pleines01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
PrecisionⓘFP8
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Atlas atlas-deepseek-v4.1-flash
Pricing$0.3$1.2
Cache$0.03
PrecisionⓘNot Disclosed
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for deepseek-v4.1-flash
Uptime est le pourcentage de requêtes réussies au cours des 72 dernières heures. AIHubMix surveille en continu chaque fournisseur et réessaie automatiquement avec le meilleur fournisseur suivant lorsqu'un fournisseur renvoie une erreur ou répond trop lentement; Latency est le temps total d'aller-retour d'une requête (plus elle est faible, mieux c'est); Throughput correspond à la vitesse d'écriture du modèle (tokens par seconde ; plus il est élevé, mieux c'est).
Uptime
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Python