Mentioned as the only model that has found the frog in the Frogbench test, which Fable 5.2 failed.
Open-weights multimodal DeepSeek model in the V4 family, offered via API, chat and downloadable weights.
Updated EU status checked Last shown
DeepSeek V4.1 Flash at a glance
- What is DeepSeek V4.1 Flash?
- DeepSeek V4.1 Flash is a model from DeepSeek. Open-weights multimodal DeepSeek model in the V4 family, offered via API, chat and downloadable weights.
- Who makes DeepSeek V4.1 Flash?
- DeepSeek V4.1 Flash is made by DeepSeek.
- Does DeepSeek V4.1 Flash work in the EU?
- Available in the EU. Open weights can be downloaded and self-hosted anywhere, and the model is served via third-party providers; no EU exclusion was found in the provided material. Some EU regulators have restricted DeepSeek's hosted app, so check the policy for the hosted service. Last verified 14 Nov 2026.
- How much does DeepSeek V4.1 Flash cost?
- Open source. Weights reported as downloadable for free; hosted API and chat access via DeepSeek and third-party providers. Reviewer cites about $0.26 per task on Lithos AI. Current official pricing not confirmed.
- Where was DeepSeek V4.1 Flash shown?
- In 10 creator videos by AI Search, Matthew Berman, Matt Wolfe. Most recently by AI Search on 11 Nov 2026, at 21:35 in “Claude Fable 5.2 is a freak”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
DeepSeek V4.1 Flash is a model from DeepSeek, the Chinese AI lab whose site lists open-source releases such as DeepSeek-V4 and DeepSeek-R1. The provided material is limited, so details such as parameter count, context length and exact release date are not confirmed here.
According to a YouTube reviewer (Matthew Berman), it is an open-weights multimodal model that handled a range of practical tests, including coding tasks (a Fall Guys clone, a local Excel clone), a PDF reader, browser clipping, and image-based tasks such as pastry counting. He reported speeds of up to about 1,286 tokens/s on Lithos AI at roughly $0.26 per task, and placed it slightly below Opus 5.5 on some tests. These are one creator's informal results, not formal benchmarks.
It can be accessed through DeepSeek's chat service and API, and via third-party inference providers; weights are reported to be downloadable. The license and the official model card were not included in the material, so they are left unspecified.
- Open-weights model in the DeepSeek V4 family
- Multimodal input (reported by reviewer)
- Fast inference reported on third-party hosts (up to ~1,286 tok/s on Lithos AI)
- Handles coding and document tasks in informal creator tests
- Available via DeepSeek chat and API
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Creator calls it one of the best open-source models right now and points to a separate full video on it.
Called one of the most surprisingly great models out there, and the creator's surprise of the year. He has a separate video on it.
Open-weights multimodal model tested on 3D watch, Fall Guys clone, iPhone Duo, pastry counting, speed, browser clipping, local Excel clone, Rubik's cube and a PDF reader. Creator calls it potentially the best overall model given its quality, cost and speed (up to ~1,286 tok/s on Lithos AI, $0.26 per task), though slightly below Opus 5.5 on some tests.
Open-weight MoE model (552B params, 16B active) released Oct 17, tested on explainer video creation, Unreal game, music composition, Blender VR, frog-finding, cancer ID, deep research and ideation. Strong on agentic tasks, roughly on par with GPT 5.6 Soul, behind top frontier models on 3D/music; failed brain tumor ID; total test cost about $6.
Open-source Flash model from DeepSeek matching frontier performance with a KV cache about 437x smaller than V1 (890 bytes per token). It uses a split encoder/decoder design, CSA2 cache sharing, a hierarchical sparse indexer, SWA bounded replay and single-pass mHC. Ranks first among open models on LiveBench and first on Vals Index, is the cheapest, and runs over 200 tokens/sec via API.
552B-parameter MoE open model with 8-16B active, new architecture with encoder-decoder, Engram and sliding window attention. Top open model on several benchmarks, 217 tokens/s via API, very cheap; weights about 510 GB with GGUF quantizations available.
Open-weights 552B mixture-of-experts model with 8B active input and 16B output parameters, a KV cache needing a quarter of the HBM, and very low pricing (15-30 cents per million input, 60 cents to $1.20 per million output). Benchmarks claim parity with Opus 5 and GPT 5.6, but the creator's tests (Rubik's Cube, Paint, bullet/water simulation) were mixed despite very fast output of about 200 tokens/s.
New cheap DeepSeek model scoring 40 on Artificial Analysis (up from 36) at about 27 cents per task, and 74.2 on DeepSWE. In the creator's SVG benchmark it was not on par with top models.
Sponsored segment on Recraft's V4.1 family: a more photorealistic base model, a Pro high-res version, a Vector model producing editable SVGs, and a Utility model for clean predictable images.
Similar AI tools
Closest neighbours by meaning, not just by category.
DeepSeek V4 Flash
Model · DeepSeek
Open-weights Flash-tier model in DeepSeek's V4 family, offered via chat and a low-cost API.
DeepSeek V4 Flash Vision Experimental
Model · DeepSeek
Experimental vision-enabled version of DeepSeek V4 Flash with image understanding; open weights under MIT, now retired on the API.
DeepSeek
Model · DeepSeek
Chinese AI lab behind the open-weight DeepSeek-V4 and DeepSeek-R1 models, with a chat app and low-cost API.
DeepSeek-V4-Pro
Model · DeepSeek
DeepSeek's V4 Pro large language model, available via API and as an open model, with low per-token pricing.
Step 3.7 Flash
Model · StepFun
Open-weights multimodal flash model from StepFun for agentic tasks involving images, interfaces, web search and long runs.
GLM 5.3 Flash
Model · Zhipu AI
Zhipu AI's GLM-5.3-Flash, a fast open-weights LLM for coding and agentic tasks, available via Z.ai chat and API.
