DeepSeek Quietly Open-Sources V4-Flash-Vision-Exp, Its First Multimodal V4 Model

On August 31, DeepSeek quietly released and open-sourced DeepSeek-V4-Flash-Vision-Exp on Hugging Face, the first experimental multimodal model in the V4 series. Built on the V4-Flash architecture with added vision modules and continued training, it is released under MIT with 8-bit and fp8 weights and is simultaneously available via API, marking DeepSeek's entry into multimodal territory.

Confirmed

• The model was published by @deepseek-ai and is live on Hugging Face (cross-confirmed by @NielsRogge, @victormustar, @ricklamers, @multimodalart, @AdinaYakup and others). It was first spotted by a Reddit user, with no official announcement or documentation at launch (@t4a8945).
• It is built on the DeepSeek-V4-Flash architecture with vision modules and continued training for visual understanding, making it the first multimodal model in the V4 series (@赛博禅心, @APPSO). Per @solyarisoftware, it adds a 32-layer vision tower and alignment layers on top of the 285B/13B V4-Flash MoE language backbone, with a 1M-token context.
• Open-sourced under MIT with 8-bit and fp8 variants, Transformers-compatible, in safetensors format (@NielsRogge, @victormustar, @deepseek-ai).
• Its pipelinetag is image-text-to-text, taking visual and text input for text generation (@AdinaYakup, @victormustar). @zainhas notes it is a sub-500B vision-language experimental model with strong vision-encoding benchmarks on the model card.
• Per @APPSO, it focuses on Agent vision while retaining text, reasoning and Agent capabilities; per @maxpaperclips, text capability is on par with V4-Flash while multimodal Agent benchmarks approach Opus-4.8; it is usable via API (model='deepseek-v4-flash-vision-exp'). Per @ccerrato147, it scores 83.9 on Terminal Bench 2.1; per @智东西, it wins 5 of 7 text-agent tasks and performs strongly on the DeepSWE software engineering test; per @solyarisoftware, vLLM already supports native inference.

Why it matters

• This is the first step of the DeepSeek V4 series into multimodality, previously text-only.
• @teortaxesTex argues the update puts DeepSeek functionally on par with Moonshot (Kimi) and GLM, tightening the multimodal race among leading Chinese open-source models.
• MIT-licensed weights in multiple precisions lower deployment and fine-tuning barriers, while the simultaneous API launch serves both open and closed paths.

2026-08-31 ~ 2026-09-01 · 18 related posts

Full story(3 episodes)→

• Episode 1: DeepSeek Launches V4-Flash-Vision-Exp, Closing In on Opus 4.8(2026-08-21, 29 posts)
• Episode 2: DeepSeek V4 Flash Vision Impresses in Hands-On Tests(2026-08-23, 4 posts)
• Episode 3: DeepSeek Quietly Open-Sources V4-Flash-Vision-Exp, Its First Multimodal V4 Model(2026-08-31, 18 posts)

• [source] DeepSeek releases V4-Flash-Vision-Exp model — deepseek-ai · 2026-08-31
• DeepSeek quietly posts DeepSeek-V4-Flash-Vision-Exp model on Hugging Face — t4a8945 · 2026-08-31
• DeepSeek releases Vision-Exp weights — teortaxesTex · 2026-08-31
• [source] DeepSeek open-sources V4 series first multimodal model: Flash-Vision-Exp — 赛博禅心 · 2026-08-31
• DeepSeek-V4 Flash with Vision Support Now Live on Hugging Face — NielsRogge · 2026-08-31
• DeepSeek open-sources V4-Flash-Vision-Exp multimodal model — max_paperclips · 2026-08-31
• DeepSeek releases V4 Flash Vision Exp model on HF — AdinaYakup · 2026-08-31
• DeepSeek Open-Sources V4 Flash Vision Multimodal Model — ccerrato147 · 2026-09-01
• DeepSeek Open-Sources V4-Flash-Vision-Exp, First Multimodal V4 With Big Benchmark Gains — alexcovo_eth · 2026-09-01
• DeepSeek launches first multimodal V4 model; vLLM adds native support — solyarisoftware · 2026-09-01

8 near-duplicate retellings: victormustar · APPSO · ricklamers · multimodalart · 智东西 · zainhas · Key_Solid_1696 · ying11231