LOADING DATASHEET
LOADING DATASHEET
by DeepSeek
RANKED #24 OF 313 ASSISTANTS · OVERALL #34 OF 493 RANKED · VIBE SCORE 6.7 · 13,569 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
A fast open model for everyday writing, coding assistance, and quick answers.
1.1k mentions
777 mentions
26 weeks · 16,053 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download DeepSeek V4.1 Flash once and it's yours. No subscription, no rate limits, works offline.
552B MoE parameters (16B active per token), a Q4 quantization is approximately 320 GB
Too large for single consumer GPUs; minimum setup requires h
512 GB UNIFIED MEMORY / 192 GB VRAM
~$7500 USEDQ4 quant offloaded across system memory, ~4 tok/s, 8k context
Apple Mac Pro / Studio cluster or 8x RTX 4090 workstation
512 GB UNIFIED MEMORY / 192 GB VRAM
~$14000 NEWQ4 quant fully resident in unified memory/VRAM, ~14 tok/s, 32k context
4x NVIDIA H100 80GB SXM server node
320 GB HBM3
~$120000 NEWFP8 native precision with full 1M context support, ~65 tok/s
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long DeepSeek V4.1 Flash takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMToo large for single consumer GPUs; minimum setup requires h | SWEET SPOTApple Mac Pro / Studio cluster or 8x RTX 4090 workstation | FULL POWER4x NVIDIA H100 80GB SXM server node |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.1 MIN★★★★★ | ~36 S★★★★★ | ~8 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~6.3 MIN★★★★★ | ~1.8 MIN★★★★★ | ~23 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~33 MIN★★★★★ | ~9.5 MIN★★★★★ | ~2.1 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~1.7 HR★★★★★ | ~30 MIN★★★★★ | ~6.4 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~63 MIN★★★★★ | ~18 MIN★★★★★ | ~3.8 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Users appreciate DeepSeek V4.1 Flash for its quick speed, solid writing, and coding help at a good price. However, many complain about frequent hallucinations, overly strict refusals, and losing context during long chats.
8988 POSTS · 4581 COMMENTS · REDDIT · GITHUB · HACKER NEWS · BLUESKY · DEV.TO · LEMMY · BLOG · DEV FORUMS
63 thumbs up · 30 thumbs down
59 thumbs up · 33 thumbs down
4 thumbs up · 77 thumbs down
7 thumbs up · 44 thumbs down
17 thumbs up · 28 thumbs down
20 thumbs up · 7 thumbs down
8 thumbs up · 2 thumbs down
3 thumbs up · 5 thumbs down
“🐳 DeepSeek-V4.1-Flash-1017 released: MIT weights, 1M context, and stronger coding and agent benchmark results.”
“[Bug/Perf] DeepSeek-V4.1-Flash on SM120 (RTX PRO 6000 Blackwell, 8xTP): extremely low decode throughput with --enforce-eager; CUDA graphs unusable — please prioritize SM120 graph capture fix.”
“Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs.”
“MiniMax M3.1 not worth it, even on peak DeepSeek v4.1 flash times..”
“Xolotl (Strata based) - DeepSeek-V4.1-Flash (552B) on a single 4090 at ~27 tok/s, Uncensored 1017 quant coming in a couple of days.”
“DeepSeek V4.1 Flash : Bug fixing wins vs terminal & reasoning losses teardown 🎬 At $0.60/M tokens, DeepSeek hits 77 vs.”
“Deepseek V4.1 Flash broken?.”
“DeepSeek-v4.1-Flash Kept Hallucinating - Here's What Helped.”
“DeepSeek V4.1 Flash: Stronger, Faster, More Accessible.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for DeepSeek V4.1 Flash.
DeepSeek just open-sourced its inference engine
DeepSeek V4.1-Flash-1017 Released: Better Performance, Faster Coding, and Public Search & Fetch APIs
DeepSeek-v4.1-Flash-1017
Deepseek v4.1 Flash reaches 98% of Astra’s score at 1.4% of cost on OpenDesign Arena
72 hours, four big open weights drops. The only one that fits in 24GB came from NVIDIA, of all companies.
DeepSeek-V4.1-Flash-1017 just dropped — this pricing could bring the servers to their knees
DeepSeek V4.1 Flash (1017) Now Leads Open-Weight Models
Deepseek even opensourced their revenue per GPU per hour
DeepSeek banned from U.S. federal civilian agencies under new DHS order
DeepSeek: DeepSeek v4.1 Flash 1017
DeepSeek just revealed what 1M tokens cost at zero profit
GPT-6 Sol Appeared on the OpenAI API