DeepSeek V4.1 Flash 1017Pricing
- Input Tokens: $0.155 /M tokens
- Output Tokens: $0.62 /M tokens
- Cache Read: $0.0031 /M tokens
Входни методи
- Text
- Vision
Изходни методи
- Text
Context length
- 1M tokens
Max output
- 393K 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
Доставчици
Performance for deepseek-v4.1-flash-1017
Uptime е процентът успешни заявки през последните 72 часа. AIHubMix непрекъснато следи всеки доставчик и автоматично повтаря заявката към следващия най-добър доставчик, когато някой върне грешка или отговори твърде бавно; Latency е общото време за обработка на заявката (колкото по-ниско, толкова по-добре); Throughput е скоростта, с която моделът пише (токени в секунда; колкото по-високо, толкова по-добре).
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Compare DeepSeek V4.1 Flash 1017
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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.
DeepSeek-V4-Flash-0731(deepseek-v4-flash-0731) is an open-source MoE large language model developed by the Chinese AI company DeepSeek, with support for a million-token context window. It is designed for coding, complex reasoning, tool use, agentic workflows, and long-document processing. Its advantages include strong performance with fewer active parameters and improved efficiency through DSpark speculative decoding. Compared with DeepSeek V4-Flash Preview, it offers significantly stronger coding and agent capabilities, while outperforming DeepSeek V4-Pro Preview on several benchmarks with fewer active parameters.
- Вход: $ 0.155 /M
- Изход: $ 0.62 /M
DeepSeek’s officially released new multimodal visual-understanding model, DeepSeek‑V4‑Flash‑Vision‑Exp, is experimental in nature and supports multimodal inputs. In pure-text capabilities (agents, reasoning, world knowledge, etc.), DeepSeek‑V4‑Flash‑Vision‑Exp is on par with the official DeepSeek‑V4‑Flash release.(The model name deepseek-v4-flash-vision-exp remains callable, but the official corresponding model has been taken offline; requests will be served by the DeepSeek-V4.1-Flash model and billed at Flash pricing.)
DeepSeek V4 Pro 0813 is DeepSeek’s high-performance general-purpose reasoning and agent model, designed for complex reasoning, coding, long-document analysis, and agentic workflows. It supports thinking and non-thinking modes, a 1M-token context window, up to 384K output, tool calling, and the Responses API. Compared with V4 Flash 0731, Pro prioritizes capability on complex tasks, while Flash focuses on speed, cost efficiency, and high concurrency.
DeepSeek V4 Flash 0731 Fast is a high-speed deployment of DeepSeek’s agentic model provided by Wafer, designed for coding, tool use, and high-volume agent workloads. It preserves the capabilities of V4 Flash 0731 while delivering much faster inference. Compared with V4 Pro, it prioritizes latency and execution efficiency.
(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.
