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Model details

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.

Hugging Facedeepseek-ai/DeepSeek-V4-Flash-Vision-Expdeepseek-flash

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Provider
Hugging Face
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
1,048,576 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

Hugging Face

Official sourceDiscourse

A community pull request (#12) titled "Update Model Card for SGLang support" was opened against the DeepSeek-V4-Flash-Vision-Exp repository by contributor zjxia and merged roughly an hour later by GeeeekExplorer from the DeepSeek org. The change added 13 lines and removed 0 lines in the model card, signaling that SGLan This SGLang integration matters for developers serving V4-Flash-Vision-Exp at scale, since it expands the runnable serving options beyond the reference PyTorch inference implementation shipped in the repo. The fast turnaround from PR opening to merge by a DeepSeek org member indicates active upstream engagement with th

Hugging Face

Official source

DeepSeek launched DeepSeek-V4-Flash-Vision-Exp as the first experimental multimodal model in the DeepSeek-V4 family, built on the V4-Flash text architecture with added visual modules and continued training. According to the official model card on Hugging Face, the model delivers substantial improvements on multimodal a The model card also highlights multimodal agent gains, with ApexBench (Pass@1) reaching 36.5 versus 26.2 for V4-Flash-0731, Agents' Last Exam at 27.3, Chartography at 64.3, and ZeroBench (Pass@5) at 35.0. The repository ships a tokenizer, prompt-encoding reference, and minimal PyTorch inference implementation that cove

Hugging Face

CoverageAnalysis

According to a Kie.ai write-up, DeepSeek released V4 Flash Vision Exp on August 21, 2026, as an API-first experimental multimodal model that adds native image understanding to the V4 Flash line while matching V4 Flash on agents, reasoning, and world knowledge. The official vision guide confirms support for JPEG, PNG, G The piece frames the release as capability-continuity plus a new modality rather than a new architecture, and it cautions that the "Exp" suffix means stable behavior, permanent model identifiers, fixed limits, and final pricing are not guaranteed. Multimodal-agent performance is described as close to Claude Opus 4.8 ra

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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