DeepSeek V4.1 Flash hands-on tests and comparisons

A video lists DeepSeek V4.1 Flash 1017's numbers: 88.7 on a composite leaderboard, 77% pass rate on DeepSWE v1.1, under $0.2 per task, API about 1/10 the price of GPT-6.1 Sol, plus 3D scene and web page generation.

The author argues V4.1-Flash-1017, a sub-1T model, is not best at everything but is top-tier for pure coding including cost, while Japanese-language coders are still better served by Claude or GPT.

A roundup says V4.1-Flash-1017 improved on all 11 benchmarks, with DeepSWE 77.0 above Claude Opus 5's 74.0 and Terminal-Bench up from 31.2 to 42.3, plus MIT-licensed weights and a Search & Fetch API.

Citing the official report on better benchmarks, shorter output and faster completion, the author argues that if saved tokens are repaid in human rework, the real cost just moves to another bill.

Running the same OpenCode workflow via OpenRouter, the new 1017 build cost about $0.06 per run and finished faster than the old Flash at $0.08, while flagship models stayed pricier.

The poster cites official self-tests where 11 benchmarks show 9 wins over GPT-5.6 Sol, and personally finds it stronger than GPT-6.1 Sol.

Benchmark comparison: V4.1 Flash max scores 75/100 at $0.22 per task, the same as Opus 5.5 at 11x the price; only Sol and Astra score higher, at 6x+ cost.

Hermes' October 17 changelog adds DeepSeek V4.1 Flash to the OpenRouter and Nous Portal model pickers, alongside desktop and streamed tool-call fixes.

A Spanish post summarizes V4.1-Flash-1017: MIT weights, ~763B-parameter MoE with only 8–16B active, Terminal-Bench up 11 points, DeepSWE 77, same low price plus a search API.

DeepSeek Harness 0.2.1-rc.1 supports V4.1-Flash-1017; the official claim is better task results, shorter runtime and lower token cost from Harness-specific training, but no numbers are given.

The V4.1-Flash-1017 weights are now on Hugging Face under MIT, a 552B MoE with 1M context, so the community can test distillation claims directly.

A third-party site reports DeepSeek swapped its underlying weights to V4.1-Flash-1017 without fanfare, now live across web, app and API.