DeepSeek V4.1 Flash hands-on tests and comparisons

ISTA-DASLab released GSQ-RCO quantizations of DeepSeek-V4.1-Flash-1017 at 230–265GB total, runnable with 12GB VRAM plus 64GB RAM and comfortable at 128GB.

Fully local V4.1 Flash setup with two DGX Sparks plus an x86 box hits 50-66 tok/s per request, ~105-119 combined, 2,200 tok/s prefill and 2.5M-token KV.

On the same 3x Tesla V100 32GB setup with the same DeepSeek V4.1 Flash 1017 quant, a Maya update lifted prefill from about 420 to about 1400 tok/s without hurting decode.

Project Maya v1.1.22 strengthens local DeepSeek-V4.1-Flash execution, keeping all 384 experts resident on 128GB machines with reported ~5x prefill and ~2x decode versus llama.cpp.

Claims DeepSeek-V4.1-Flash-1017, a 763B-parameter model, can run locally on a 12GB GPU via GSQ-RCO quants in the Strata inference engine while keeping frontier quality.

A ranked list of eight free or low-cost coding/agent channels: OpenCode Go at $10/month for about $80 of DeepSeek V4.1 Flash with full 1M context tops it, while the free Zen tier is time-limited and often cut to 200K.

With the same prompt, DSH harness and high reasoning effort, the official DeepSeek platform averaged 212 tok/s with 99.8% cache hits in 44m50s, while OpenCode Go took 2h05m at 170 tok/s.

Artificial Analysis reports Cyber Index cost per task of $0.42 for DeepSeek V4.1 Flash 1017, $1.77 for GPT-6 Sol and $2.81 for Kimi K3.1 Pro.

A user reports the oMLX-quantized DeepSeek V4.1 Flash scored 100% on their agentic bench in DeepSeek Harness at default settings, while the same model in PI had a wider trajectory and lower ceiling.

In a four-model pure three.js Arc de Triomphe challenge, DeepSeek V4.1 Flash cost only $0.78 and came close to Kimi K3.1 Pro's $6.06 result.

The author clarifies the clip compares only generation speed for a Tetris build, with Opus 5.5 at roughly 60–90 tok/s, not code quality, and notes it doubles as Fireworks promotion.

The author alternates between Opus 5.5 in Claude Code and V4.1 Flash in OMP: Flash's fast tokens give sub-10-second replies for tight iteration, and when stuck it asks Opus 5.5 or Gemini 4 for advice, or Opus runs a swarm of DeepSeeks all day to save tokens.