DeepSeek V4.1 Flash hands-on tests and comparisons

Using Opus 5.5 as orchestrator and V4.1 Flash 1017 as worker on a long facade design task, 29 rounds over about 5 hours cost $4.06 in DeepSeek API credits, under $0.5 per hour.

A developer unpacks Tony's 1.8x chart: the faster bar is a Zig engine running 3.5-bit EXL3 weights, the slower one is vLLM on native 4-bit MXFP4; the second RoCE cable adds only 4% (89.8 to 93.6 tok/s), so the gap comes from engine and quantization, and he stays on native weights to avoid long-reasoning drift.

Japan's ITmedia covers the release of DeepSeek V4.1-Flash, highlighting claims that it surpasses Astra on some benchmarks and that the model is openly available.

The open motionbench benchmark scores seven models frame by frame on animation, with Claude Opus 5.5 first and GPT-6.1 Sol and DeepSeek V4.1 Flash within its margin.

To ease Grok Bot quota limits, a user hooked DeepSeek V4.1-Flash in through Pi Agent for coding and reports a smooth experience.

The post says DeepSeek-V4.1-Flash-20261017 (Max) passed Kimi K3 (Max) to rank first among open models on Code Arena WebDev at one-tenth the cost.

A user highlights the low cost of DeepSeek-V4.1-Flash-1017, running demos from a launch-deck slide to a Monument Valley puzzle and a whale swimming out of a classical painting for ¥28 per 500M tokens.

One item in an Oct 19 AI news roundup: DeepSeek released V4.1-Flash-1017 under MIT, leading or matching Opus 5 on DeepSWE and other agent/coding benchmarks with faster, shorter tasks and low API pricing.

A 2-bit quant of V4.1-Flash-1017 on two used RTX 3090s matched the hosted full model's quality on a 26-problem hard reasoning eval, at roughly double the thinking time.

TensorFold's two-node engine with an EXL3 2.9 bpw pack runs DeepSeek V4.1 Flash 1017 on two DGX Sparks at 73 tok/s single-user, 136 tok/s for four, reading a 93K prompt in 43.7s.

A user trying V4.1 Flash 1017 for free in OpenCode finds it competent, with agentic capabilities around Sonnet 4.5 level but faster.

Using the TensorFold two-node engine and LibertAI's EXL3 2.9bpw pack, DeepSeek V4.1 Flash runs full 1M context on two DGX Sparks, loading in 27 seconds and reading a 131K-token prompt at 2,059 tok/s.