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DeepSeek V4 Flash Vision Exp

DeepSeek V4 Flash Vision Exp is positioned as an experimental entry within the deepseek-flash family, reflecting the lab's broader push toward efficient multimodal architectures. Its release as open weights, as documented in community channels such as the NVIDIA developer forums, signals an intent to invite hands-on evaluation and deployment experimentation rather than to serve as a finalized production model. Because the supplied evidence covers only the open-weights announcement and does not include a dedicated model card or technical report for this exact variant, its precise architectural lineage is best understood as an exploration that precedes the later, more formally described DeepSeek-V4.1-Flash release.

In practical terms, the model is aimed at developers who want early access to a vision-capable Flash-class system for tasks such as image-grounded reasoning, document understanding, and multimodal assistants. The V4.1-Flash successor, which DeepSeek introduced with native multimodal visual understanding and a redesigned architecture targeting higher throughput and faster inference, illustrates the direction the Flash family is taking, though those gains are documented for the newer release rather than the Vision Exp variant itself. For practitioners, V4 Flash Vision Exp is best suited as a stepping stone for prototyping multimodal pipelines and for stress-testing sparse attention and KV-cache behavior on consumer and prosumer hardware, ahead of moving to the more polished V4.1 line for production workloads.

SiliconFlowdeepseek-ai/DeepSeek-V4-Flash-Vision-Expdeepseek-flash

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Provider
SiliconFlow
Model key
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
Release date
Aug 21, 2026
Last updated
Sep 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.44
Output token cost
$1.32

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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Latest news about DeepSeek V4 Flash Vision Exp

SiliconFlow

CoverageAnalysis

An analysis published on 2026-08-29 at kie.ai documents that DeepSeek V4 Flash Vision Exp appeared on August 21, 2026, as an API release adding native image input to the V4 Flash line while preserving its text-side capabilities. The post cites DeepSeek's official vision guide confirming support for JPEG, PNG, GIF, and On benchmarks, the article frames the multimodal results as mixed rather than uniformly superior to Claude Opus 4.8 — Terminal Bench 2.1, NL2Repo, DeepSWE, DSBench-Hard, AutomationBench, ApexBench, Agents' Last Exam, Chartography, and ZeroBench are listed with V4 Flash Vision Exp showing capability continuity on agents

SiliconFlow

CoverageBenchmark

BuildFastWithAI's review dated 2026-08-22 confirms DeepSeek V4 Flash Vision Exp launched on August 21, 2026 as an experimental multimodal API model with model ID deepseek-v4-flash-vision-exp, taking both text and image inputs and returning text while reusing V4 Flash's pricing base. It highlights that screenshots, char The review notes DeepSeek's claim that pure-text agent, reasoning, and world-knowledge capabilities remain on par with the official V4 Flash, with native visual understanding as the additive capability, and explicitly warns that the 384-token cap means cheap visual input is not equivalent to unrestricted visual fidelit

SiliconFlow

CoverageBenchmark

The explainx.ai post dated 2026-08-21 — updated 2026-09-02 — announces DeepSeek-V4-Flash-Vision-Exp as DeepSeek's first vision-capable entry in the V4 Flash line, accessible via model='deepseek-v4-flash-vision-exp'. It reports DeepSeek's official pitch: match V4 Flash on text-side reasoning, agents, and world knowledge On benchmarks, the post reproduces DeepSeek's own two-group evaluation: in text-based agent benchmarks (Terminal Bench 2.1, NL2Repo, Cybergym, DeepSWE, Toolathlon-Verified, DSBench-Hard, AutomationBench) Vision Exp matches or marginally exceeds V4 Flash 0731 and trails Opus 4.8, while in multimodal-agent benchmarks Vis

SiliconFlow

Coverage

DeepSeek's official API changelog dated 2026-09-10 records that DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21 as an experimental multimodal model accessible via model='deepseek-v4-flash-vision-exp' on the DeepSeek API. The changelog lists its initial benchmark scores, including Terminal Bench 2.1: 83.9, NL2Re The page also documents surrounding release context: V4.1 Flash is described as the smallest model in a new architecture family with native multimodal visual understanding and higher capability ceiling, throughput, and scaling headroom, and its V4.1 release triggered an API price reduction across the line. It separatel

Deep Infra

Coverage

The official DeepSeek API changelog documents the August 21, 2026 release of DeepSeek-V4-Flash-Vision-Exp (model id: deepseek-v4-flash-vision-exp) as an experimental multimodal model, and lists first-party benchmarks including Terminal Bench 2.1: 83.9, NL2Repo: 57.7, DeepSWE: 59.3, DSBench-Hard: 63.6, AutomationBench ( A subsequent September 10, 2026 changelog entry announces DeepSeek-V4.1-Flash and explicitly states that V4 Flash and V4 Flash Vision Exp have been retired, with the model names deepseek-v4-flash and deepseek-v4-flash-vision-exp temporarily routed to V4.1 Flash for compatibility. API pricing was also reduced with the V

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