(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Pricing
- Input Tokens: $0.142 /M tokens
- Output Tokens: $0.284 /M tokens
- Cache Read: $0.0284 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Context length
- 1M tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Azure azure-deepseek-v4-flash
Pricing$0.1425$0.3825
Cache Read$0.1425/M tokens
Context1M
Max output384K
Latency2.4S
Throughput65.3TPS
Uptime
100.00% uptime 2 days ago
99.98% uptime yesterday
100.00% uptime today
Alibaba Cloud alicloud-deepseek-v4-flash
Pricing$0.142$0.284
Cache Read$0.0142/M tokens
Context1M
Max output384K
Latency1.5S
Throughput64.3TPS
Uptime
99.78% uptime 2 days ago
99.88% uptime yesterday
99.94% uptime today
Baidu baidu-deepseek-v4-flash
Pricing$0.142$0.284
Cache Read$0.0284/M tokens
Context1M
Max output384K
Latency1.2S
Throughput84.6TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Tencent tencent-deepseek-v4-flash
Pricing$0.142$0.284
Cache Read$0.0284/M tokens
Context1M
Max output384K
Latency1.8S
Throughput8.0TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Performance for deepseek-v4-flash
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
Loading...
Latency
Loading...
Throughput
Loading...
Try this model
Python
