DeepSeek V4.1 Flash hands-on tests and comparisons

A user reports the abliterated DeepSeek V4.1 1017 on Venice AI hits ~454 tok/s single-stream on code and 175 tok/s on prose, at twice the price but still under half of GLM 5.3's cost.

On 105 reproduced bugs across two repos, DeepSeek V4.1 Flash 1017 scored 42.7, slightly above Opus 5.5's 41.7 and Kimi K3.1 Pro's 36, while costing $1.84 versus Opus's $58.53.

The author compares Kimi K3.1 Pro and DeepSeek V4.1 Flash 1017 outputs on the same prompt and complains that $1.95 input / $10.20 output pricing and tight subscription quotas are too expensive.

A new mlx-optiq workflow lets existing Mac agents such as Claude Code, Codex and OpenCode call cloud models with one command, tested with GLM 5.3 Flash and DeepSeek V4.1 Flash.

A user cites the AbacusAI LiveBench comparison page saying Kimi 3.1 is benchmaxed yet still below DeepSeek V4.1 Flash 1017, linking the head-to-head view.

Pirate Face's swarm activity page now lists DeepSeek-V4.1-Flash-1017-GGUF alongside other models for download or distributed inference.

After hands-on testing the user recommends only three models, noting DeepSeek V4.1 Flash 1017 is cheap, fast and high quality, costing just $1.3 for over 200M tokens.

The author argues the Terminal-Bench 4.0 per-task cost chart shrinks DeepSeek V4.1 Flash 1017 to a dot, hiding that Kimi K3.1 Pro costs about 20x more per task.

A side-by-side test gives Kimi K3.1 Pro and DeepSeek V4.1 Flash-1017 the same prompt to generate a frontend animation; the author finds both strong with DeepSeek holding its own.

A reply argues DeepSeek V4.1 Flash has no rival on price-to-capability, delivering frontier-level results for pennies with open weights, and is puzzled by continued complaints.

A long roundup on cyberattack trends notes that ValsAI's simulated network-attack test had DeepSeek V4.1 Flash beating GPT-6 Sol, and discusses abuse risks of refusal-stripped open-weight builds.

Risk-tiering 1,763 merged PRs and routing 27.9% to Opus and the rest to Flash comes to about $3.47 per task, roughly 70% cheaper than all-Opus.