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
Các phương thức nhập
- Text
- Vision
Các phương thức đầu ra
- 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
Nhà cung cấp
Bytedance doubao-deepseek-v4.1-flash
Giờ thấp điểm04:00–06:00, 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
Giờ cao điểm01:00–04:00, 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
Latency6.0S
Throughput66.4TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Baidu baidu-deepseek-v4.1-flash
Giờ thấp điểm14:00–00:00 UTC
Pricing$0.1408$0.5632
Cache Read$0.0028/M tokens
Giờ cao điểm00:00–14:00 UTC
Pricing$0.2816$1.1264
Cache Read$0.0056/M tokens
PrecisionⓘNot Disclosed
Latency3.2S
Throughput78.4TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Tencent tencent-deepseek-v4.1-flash
Giờ thấp điểm04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Giờ cao điểm01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
PrecisionⓘNot Disclosed
Latency1.9S
Throughput8.2TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Pareto pareto-deepseek-v4.1-flash
Giờ thấp điểm04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Web Search$0.00077/request
Giờ cao điểm01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
Web Search$0.00077/request
PrecisionⓘNot Disclosed
Latency1.6S
Throughput11.4TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
100.00% uptime today
Alibaba Cloud alicloud-deepseek-v4.1-flash
Giờ thấp điểm14:00–00:00 UTC
Pricing$0.1408$0.5632
Cache Read$0.0141/M tokens
Web Search$0.00062/request
Giờ cao điểm00:00–14:00 UTC
Pricing$0.2816$1.1264
Cache Read$0.0282/M tokens
Web Search$0.00062/request
PrecisionⓘNot Disclosed
Latency0.9S
Throughput17.0TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Morph morph-deepseek-v4.1-flash
Giờ thấp điểm04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Giờ cao điểm01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
PrecisionⓘNot Disclosed
Latency0.8S
Throughput16.6TPS
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
Giờ thấp điểm04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Giờ cao điểm01:00–04:00, 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 là tỷ lệ phần trăm yêu cầu thành công trong 72 giờ qua. AIHubMix liên tục giám sát từng nhà cung cấp và tự động thử lại với nhà cung cấp tốt nhất tiếp theo khi một nhà cung cấp trả về lỗi hoặc phản hồi quá chậm; Latency là tổng thời gian khứ hồi của một yêu cầu (càng thấp càng tốt); Throughput là tốc độ ghi của mô hình (token mỗi giây; càng cao càng tốt).
Uptime
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Latency
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Throughput
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Try this model
Python