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DeepSeek-V4-Flash: Fast, Efficient and Economical

DeepSeek-V4-Flash is an efficient, highly economical model featuring 284 billion total and 13 billion active parameters. Despite its smaller size, its reasoning capabilities closely approach the DeepSeek-V4-Pro model, performing equally well on simple agent tasks.

The model leverages structural innovations like token-wise compression and DeepSeek Sparse Attention (DSA) to maximize performance. These advancements enable a massive 1-million standard context length with drastically reduced compute and memory costs.

Main Technical Specs of DeepSeek-V4-Flash

• Total Params: 284 billion
• Active Params: 13 billion
• Pre-trained Tokens: 32 trillion
• Context Length: 1 million
• Web/App Mode: Instant

Major Improvements of DeepSeek-V4-Flash

The model introduces several critical upgrades designed to maximize efficiency without compromising on performance.

Structural Innovation and Sparse Attention

DeepSeek-V4-Flash operates on a highly optimized architecture featuring 284 billion total parameters, but activates only 13 billion parameters during inference.

This efficiency is driven by novel attention mechanisms, specifically the introduction of token-wise compression combined with DeepSeek Sparse Attention (DSA).

1-Million Standard Context Length

A massive 1-million token context length is now the standard default across all official DeepSeek services, including V4-Flash.

Thanks to the underlying DSA and token compression, developers can now process vast amounts of data, massive documents and entire codebases in a single prompt without facing prohibitive computational bottlenecks.

Near-Pro Reasoning and Agentic Capabilities

Despite its smaller active parameter footprint, V4-Flash boasts reasoning capabilities that closely approach the massive, flagship DeepSeek-V4-Pro model.

Besides, the model features dedicated optimizations for agent-driven workflows, enabling seamless integration with leading external AI agents like Claude Code, OpenClaw and OpenCode.

Enhanced Speed and Dual-Mode Support

Built to be the economical powerhouse of the V4 lineup, DeepSeek-V4-Flash offers dramatically faster response times compared to its larger counterparts.

Moreover, you can easily toggle between Thinking mode for complex reasoning and Non-Thinking mode for rapid, straightforward generation.

DeepSeek-V4-Flash vs Other Models

Aspect	DeepSeek-V4-Flash	DeepSeek-V4-Pro	DeepSeek-V3.2	GPT-5.5	Claude Opus 4.7
Architecture	MoE	MoE	MoE	Closed-Source	Closed-Source
Context Limit	1 million	1 million	128K-131K	1 million+	1 million
Reasoning Capability	Near-Pro	World-Class	Advanced	Extremely High	Exceptional
Response Speed	Lightning-fast	Balanced	Moderate	Variable	Variable
Standout Feature	1M standard context for simple agents	Unrivaled open-source STEM & Coding	Reasoning-first, integrated tool-use with agentic workflows	Real-time self-correction & personalization	Hard reasoning and long coding tasks