DeepSeek

deepseek-v4-flash:cloud

Medium usage

DeepSeek-V4-Flash is a preview of the DeepSeek-V4 series, a Mixture-of-Experts model with 284B total parameters and 13B activated, built for efficient reasoning across a 1M-token context window.

toolsthinkingcloudCommunity r/DeepSeek

Context window1M

ModalitiesText

Size304B

Pulls403.8K

Tags2

Updated3 weeks ago

ollama run deepseek-v4-flash:cloud

Cloud tags

Tag	Context	Modalities
deepseek-v4-flash:cloud (default)	1M	Text
deepseek-v4-flash:0731-cloud	1M	Text

Key features

Million-token context — efficient reasoning across a 1M-token context window.
Three thinking modes — No thinking for fast, intuitive answers; Thinking for careful logical analysis; Max thinking for maximum reasoning effort on the hardest problems.
MoE efficiency — 284B total parameters with only 13B activated per token.

Benchmark highlights — thinking mode

Benchmark	Score
GPQA Diamond (Pass@1)	88.1
LiveCodeBench (Pass@1)	91.6
MMLU-Pro (EM)	86.2
SWE Verified (Resolved)	79.0
Terminal Bench 2.0 (Acc)	56.9
MRCR 1M (MMR)	78.7

Best practices

Thinking modes — pick No thinking for quick answers, Thinking for logical analysis, and Max thinking only for the hardest problems to balance quality and latency.
Long context — the 1M window handles corpus-scale retrieval tasks (MRCR, CorpusQA) with strong accuracy.
Agentic use — strong on tool-augmented benchmarks (BrowseComp, MCPAtlas, Toolathlon).

Specs sourced from ollama.com/library/deepseek-v4-flash · Retrieved 2026-08-29