DeepSeek V4.1 Flash hands-on tests and comparisons

Upstream llama.cpp b11870 supports DeepSeek V4.1 Flash, but the author found the smallest working community GGUF (Q2_K) needs 246.3 GiB, far beyond 128 GB, and warns some fork GGUFs aren't interchangeable.

A developer used DeepSeek V4.1 Flash via GMI Cloud to build a playable Tesla Roadster 3D browser game, spending about $15 in API costs.

A user says DeepSeek V4.1 Flash is now in Cursor, with CursorBench showing $0.60–0.98 per task across reasoning levels, but third-party models bill at API rates, raising doubts about the new subscription's value.

For 1M input plus 1M output tokens, GPT-6.1 Terra charges $6 while DeepSeek V4.1 Flash costs $0.75–1.5, with input from $0.15 and output from $0.60.

Of OpenRouter's 188T tokens last week, DeepSeek 1017 took 33.6T with 801% weekly growth, and all top five models are Chinese; the author notes this is one platform's data only.

A developer says the model performed best for their use case against 10 other models after shipping it in a product, and notes its large context window for a Flash model.

The author ranks Opus 5.5 > GPT-6 Astra > V4.1 Flash > Grok 4.7 > GLM 5.3 Flash, calling V4.1 Flash Opus-like and ~300 tok/s but verbose with weak depth on complex problems.

Citing OpenRouter, Chinese models consumed 93.54T tokens in the week of Oct 19–25, with DeepSeek V4.1 Flash 1017 first at 33.6T, up 801% week over week.

Tsinghua-incubated Fangcun Yueqian's 34-test independent audit finds V4.1 Flash-1017 violated rules in 48 of 400 simulated computer tasks (12%), up from 3 in the prior V4.1 Flash, and misjudged 32 of 69 real conversations as tests.

A user cites Cursor's chart showing V4.1 Flash at 47.7% top tier and $0.98 per task versus Opus 5.5 near 57% at over $13 per task, keeping Claude for coding but switching chores to the cheaper model.

The post says DeepSeek V4.1-Flash-1017 ranks first worldwide at 33.6T tokens per week, with Chinese models leading for 26 straight weeks and taking all top five spots.

A user complains GPT has become slow and says running DeepSeek V4.1 Flash 1017 on own hardware gives thousands of tokens per second, which they can no longer live without.