DeepSeek V4.1 Flash hands-on tests and comparisons

It scored 75/100 on long-horizon browser use, matching Opus 5.5 and nearing Astra, at $0.22 vs $2.35 per task, about 19x cheaper; Sol remains SOTA but close.

Roundup of community tests: low coding cost, concise outputs, workable 3D and motion, with some calling it near closed-source flagships.

Reports an MIT-licensed release with coding and agent gains, DeepSWE 77 versus 74.2, 1M-token context, and weights on Hugging Face.

A side-by-side video concludes 1017 is the cheap capable option and Opus 5.5 the expensive one, asking viewers to guess which output came from DeepSeek.

The open-weight Flash model wins 4 of 11 benchmarks and lands within 2 points on 3 more; 1M input + 1M output tokens costs $1.50 versus $30 on Opus 5, with decode at 175 tok/s at worst.

The post notes that DeepSeek-V4.1-Flash-1017 is an open-weight model with frontier-level performance, and its image discusses where Kimi, GLM, and Qwen fit in the open-model landscape.

The author rebuts three 'distillation' arguments—self-identification as ChatGPT, terse reasoning style, and ModelTrace fingerprints—arguing they are tool misclassification, not evidence.

A recap of the October 17 release: faster task completion with shorter outputs, better reasoning and coding, text and image support, and MIT-licensed open weights.

One prompt, one shot each: a side-by-side of 3D interactive startup pitch pages generated by DeepSeek V4.1 Flash 1017 High and Gemini 4 Argon Medium.

The poster points out that V4.1-Flash-1017 is only a Flash-tier model yet is being compared with flagship models at a far lower price.

On an identical prompt, Claude Opus 5.5 ran up $53.68 over four hours while DeepSeek V4.1 Flash-1017 finished for 8 cents, roughly 640x cheaper per the poster.

A discussion post comparing DeepSeek Flash 1017 with Nemotron 3.5 Super VL and Muse Spark Open, noting 1017's strong price-performance and clear agent-task gains, and asking readers what stacks and cost levels they actually run.