LOADING DATASHEET
LOADING DATASHEET
by DeepSeek
RANKED #6 OF 263 ASSISTANTS · OVERALL #10 OF 6,558 · VIBE SCORE 7.4 · 5,997 VOICES
A fast, budget-friendly text AI designed for everyday writing and coding tasks.
1.1k mentions
466 mentions
26 weeks · 9,930 voices
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download DeepSeek V4 Flash once and it's yours. No subscription, no rate limits, works offline.
284B parameters (13B active MoE), a Q4 file is about 155 GB
Mac Studio M2 Ultra (128GB Unified Memory)
128 GB UNIFIED MEMORY
~$4,000 USEDUD-IQ3_XXS (3-bit), ~5-8 tok/s, 8k context
4x NVIDIA RTX 3090 (24GB VRAM each) + Host PC
96 GB VRAM + 128 GB RAM
~$5,500 USEDUD-IQ3_S (3-bit) or UD-IQ4_XS (4-bit) with partial offload, ~12-15 tok/s, 16k context
2x NVIDIA DGX Spark (128GB Unified Memory each)
256 GB UNIFIED MEMORY
~$8,000 NEWUD-Q4_K_XL (4-bit) or UD-Q8_K_XL (8-bit), ~20-30 tok/s, 128k context
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 Flash takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMac Studio M2 Ultra (128GB Unified Memory) | SWEET SPOT4x NVIDIA RTX 3090 (24GB VRAM each) + Host PC | FULL POWER2x NVIDIA DGX Spark (128GB Unified Memory each) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~77 S★★★★★ | ~37 S★★★★★ | ~20 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~3.8 MIN★★★★★ | ~1.9 MIN★★★★★ | ~60 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~21 MIN★★★★★ | ~9.9 MIN★★★★★ | ~5.3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~64 MIN★★★★★ | ~31 MIN★★★★★ | ~17 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~38 MIN★★★★★ | ~19 MIN★★★★★ | ~10 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 love DeepSeek V4 Flash for its blazing speed, low cost, and strong coding help. However, some complain about frequent outages, preachy refusals, and occasional hallucinations.
4321 POSTS · 1676 COMMENTS · REDDIT · BLUESKY · HACKER NEWS · X · GITHUB · LEMMY · DEV.TO · DEV FORUMS · BLOG
54 thumbs up · 37 thumbs down
52 thumbs up · 16 thumbs down
8 thumbs up · 32 thumbs down
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5 thumbs up · 3 thumbs down
6 thumbs up · 1 thumbs down
“Scaling self-verification with DeepSeek V4 Flash beats Claude Fable 5 on Terminal-Bench 2.1, while being 11x cheaper.”
“@CardilloSamuel I have 1x DGX with Deepseek V4 flash, happy with the speed, thanks to @MiaAIlab recipe 🙂.”
“@TeksEdge Running deepseek v4 flash but limiting the memory usage to .75 so the box doesn’t crash.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for DeepSeek V4 Flash.
DeepSeek Pro V4 Max just completed the challenge too! It took much longer, at 2:30h, but the total token spend was just
DeepSeek V4-Flash is officially out, still dirt cheap. USA don't like that, and want ban open source models.
DeepSeek V4 flash final release
DeepSeek V4 Flash API is 18x cheaper on input, 28x cheaper on output, and matches Opus 4.8. Time for Claude to atleast reduce sonnet pricing
DeepSeek is 28x cheaper on on output than Claude Opus 4.8😱
Artificial Analysis' Qwen3.8-27B benchmarks put it neck and neck with DeepSeek V4 and GPT-5.6 Luna Max
DeepSeek-V4-Flash has been updated, "The official release of DeepSeek-V4-Pro will follow soon"
I think I know why deepseek is so good
Quick tip: download the open models you care about from Hugging Face as soon as you can. You never know what the next fe
DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀 🔹 This experimental multimodal model matches
New DeepSeek V4-Flash achieves 50 on ArtificalAnalysis Index, 1 point below GLM-5.2 and GPT-5.6 Luna
DeepSeek V4 Flash GA ranks the same as Sonnet 5 and Grok 4.5 on DeepSWE