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DeepSeek V4 Flash

DeepSeek V4 Flash sits in the Flash branch of the DeepSeek V4 family and is distributed as an open-weights text model from the deepseek-ai organization on Hugging Face under an MIT license. The Flash-0731 release is described as the official successor to an earlier preview, with substantially enhanced agentic capabilities and a model structure shared with the sibling DSpark variant, which attaches a speculative decoding module for faster inference. A linked technical report for the V4 family is available on arXiv, giving practitioners a deeper reference for the architecture and training approach behind the Flash line. This combination of speculative decoding and an open release suggests a design aimed at efficient, reproducible deployment rather than maximum raw scale.

In published benchmark comparisons, DeepSeek V4 Flash-0731 is reported to outperform the larger DeepSeek V4 Pro Preview on agent-focused evaluations such as Terminal Bench 2.1, NL2Repo, Cybergym, DeepSWE, and Toolathlon-Verified, while its activated parameter footprint stays comparatively small. The card positions it as broadly competitive with strong proprietary models on these tasks, which indicates it is tuned for tool use and multi-step agentic workflows rather than pure chat. Practically, this makes the Flash variant a sensible choice for coding agents, repository-level automation, and other agentic pipelines where latency and cost efficiency matter, and where an open release with a speculative-decoding design can be deployed and inspected on local or self-hosted infrastructure.

ClinePasscline-pass/deepseek-v4-flashdeepseek-flash

Quick Info

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Provider
ClinePass
Model key
cline-pass/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
$0.14
Output token cost
$0.28

Limits

Output tokens
384,000 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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