DeepSeek V4.1 Flash hands-on tests and comparisons

A Japanese user compares Claude, Grok, DeepSeek and Gemini as daily drivers, finding V4.1 Flash 1017 handles search, mid-level coding and orchestration very cheaply, though local runs need heavy hardware.

The author shares a full video prompt and argues Qoder's optimization of V4.1 Flash looks like a mechanical wrapper, with long thinking time.

API price unchanged, but Artificial Analysis shows per-task cost falling from $0.49 to $0.26 and Terminal-Bench 4.0 rising from 27% to 34%.

DeepSeek opened Search and Fetch APIs at about $0.7 per 1,000 requests, alongside upgrades in reasoning, coding, agents and vision.

A user runs ChatGPT, DeepSeek Harness and WorkBuddy in parallel, using Harness to research a new GitHub project's docs and produce a video, while also comparing MiniMax 3.1 Flash with V4.1 Flash.

MIT-licensed weights on HF and ModelScope, a 552B MoE with 8B/16B active and 1M context; DeepSWE hits 77.0 versus Opus 5's 74.0.

A video shows DeepSeek V4.1 Flash inference on two DGX Sparks, with the poster joking it is alarmingly fast; no concrete tok/s figures given.

An AI daily roundup reports DeepSeek 1017 leading open models on the Arena WebDev leaderboard with a score of 1664, alongside 17 other stories.

A user says daily check-ins and growth tasks on WorkBuddy's China version keep refilling quota, letting them run V4.1 Flash for days on everyday tasks while saving API balance for hard problems.

A user running five concurrent DeepSeek Harness sessions on V4.1 Flash 1017 measured token consumption of 8.46 million per minute, noting the burn rate.

A three-way three.js Voxel Pagoda test finds DeepSeek V4.1 Flash 1017 strong on price-performance, while GLM 5.3 Flash iterates longer with impressive results.

A video pits Opus 5.5 XHigh against DeepSeek V4.1 Flash-1017 Max on the same task, with no written verdict in the post itself.