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Model details

DeepSeek V4 Flash (Alibaba Cloud)

DeepSeek V4 Flash is presented as a model entry within the broader DeepSeek model family, positioned as a Flash-tier variant alongside sibling offerings such as DeepSeek V4 Pro and a separate DeepSeek V4 Flash 0731 build. The catalog treats it as a text-in, text-out model, and gateway surfacing associates it with reasoning and tool-calling capabilities along with open-weight availability, suggesting an intention to serve developers who want a compact, configurable model for assistant-style and agentic workloads. Its name and family grouping imply a lineage built from DeepSeek's earlier V3 and V3.1 experiments, carrying forward the Flash designation that typically signals a faster, more economical sibling within the lineup rather than a flagship reasoning model.

In practical terms, the model is shaped for long-context text tasks, with a multimillion-token context window that supports extended document analysis, multi-turn agentic flows, and retrieval-augmented generation pipelines where large working memory is valuable. The "Flash" framing points toward cost-efficient inference and rapid response, which fits well with high-volume applications such as classification, extraction, summarization, and tool-augmented chat. Because it is tagged as open weights with reasoning and tool calling enabled, it is well suited to teams that want to self-host or fine-tune a capable general-purpose model for production assistants, while the larger Pro sibling remains a better match for benchmarks or tasks that demand maximum depth.

LLM Gatewayalibaba/deepseek-v4-flashdeepseek-flash

Quick Info

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Provider
LLM Gateway
Model key
alibaba/deepseek-v4-flash
Release date
Apr 24, 2026
Last updated
Apr 24, 2026
Knowledge cutoff
2025-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.20
Output token cost
$0.40

Limits

Output tokens
393,216 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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