DeepSeek V4.1 Flash hands-on tests and comparisons

The 1017 version is now live on web, app and API, with self-feedback RL said to improve building complete projects like games and 3D models from scratch.

In a JavaScript cozy-room build, V4.1 Flash beat Haiku 5.5 on model detail, while Haiku 5.5 handled sunlight entering the room more naturally.

Local deployment test with LibertAI 3.5bpw EXL3 quantization and no new kernels hits 89.8 tok/s for one user (vLLM: 48.5) and 202.9 tok/s with six.

A user says one codebase review-and-fix run on V4.1 Flash 1017 cost 4 RMB, and they run such tasks 20–30 times a day.

The author says using DeepSeek-V4.1-Flash-1017 free on the web delivers performance close to Opus 5, and sees AI pricing collapsing toward zero.

A user built a one-minute DeepSeek intro video with Claude Code and V4.1-Flash-1017, arguing its aesthetics and content quality make it a stand-in for Opus 5.5 video generation.

The update claims stronger benchmarks, faster task completion and shorter outputs, live on web, app and API; shorter outputs mean lower per-task token cost, so re-compare prices as models update.

A user shares a screenshot claiming fingerprint detection matches DeepSeek V4.1 Flash 1017 with GPT-6 Astra, fueling distillation speculation.

A user tested V4.1 Flash-1017 by having it generate a 3D animation of a pelican riding a bicycle, calling the result quite good, with video attached.

A blogger rounds up hands-on results for V4.1 Flash 1017: 38.7 average over three runs on 105 hidden bug fixes, a 1920×1080 video from one prompt in two minutes, and a village 3D scene for about 1 yuan in half an hour.

The author estimates DeepSeek-V4.1-Flash-1017 will score 45–48 on the Intelligence Index, citing models currently at 44–46 such as Grok 4.7, GPT-6 Astra, Qwen3.8-Max, GLM-5.3 and Kimi K3 as reference points.

A user tagged OpenCode's creator asking when DeepSeek V4.1 Flash 1017 will be available in the tool; no answer is included.