LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
R1
◆ OPEN
by DeepSeek
OPEN WEIGHTSLOCALAPIPAIDCLOSEDREASONING
RANKED #88 OF 337 ASSISTANTS · OVERALL #142 OF 528 RANKED · VIBE SCORE 6.2 · 234 VOICES
COPY BADGE pastes a README snippet with the rank SVG.
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
HAPPY9.5
59 mentions
SAD5.5
32 mentions
VIBE TRAJECTORY
26 weeks · 74 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download R1 once and it's yours. No subscription, no rate limits, works offline.
671B parameters MoE, a standard Q4 quant file is about 404 GB (distills exist from 1.5B to 70B)
- BARE MINIMUM
Mac Studio M2 Ultra (192GB Unified Memory)
192 GB UNIFIED MEMORY
~$5000 USEDExtreme low-bit quant (UD-IQ1_S or dynamic 1.58-bit) at ~130 GB footprint; the full 671B model is too large for standard
- SWEET SPOT
Dual Mac Studio M2 Ultra (192GB Unified Memory each) cluster
384 GB UNIFIED MEMORY
~$10000 USEDQ4_K_M quant split via llama.cpp or MLX distributed, comfortable reasoning inference at 16k context
- FULL POWER
Workstation with 8x NVIDIA RTX 3090 (24GB VRAM)
192 GB VRAM PLUS 512 GB SYSTEM RAM
~$12000 USEDK-Quant or FP8 hybrid offload across 8 GPUs with vLLM / SGLang, fast full-context inference
LEARN HOW TO SET IT UP
WILL MY BOX RUN R1?
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.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long R1 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMac Studio M2 Ultra (192GB Unified Memory) | SWEET SPOTDual Mac Studio M2 Ultra (192GB Unified Memory each) cluster | FULL POWERWorkstation with 8x NVIDIA RTX 3090 (24GB VRAM) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.1 MIN★★★★★ | ~36 S★★★★★ | ~20 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~6.3 MIN★★★★★ | ~1.8 MIN★★★★★ | ~60 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~33 MIN★★★★★ | ~9.5 MIN★★★★★ | ~5.3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~1.7 HR★★★★★ | ~30 MIN★★★★★ | ~17 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~63 MIN★★★★★ | ~18 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.
WHAT THE INTERNET SAYS
People are mostly happy with R1. Biggest praise: help with code. Biggest gripe: getting facts right.
177 POSTS · 57 COMMENTS · REDDIT · BLUESKY · HACKER NEWS · DEV.TO · LEMMY · GITHUB · BLOG
PEOPLE LOVE
- Popular for coding help (7 mentions)
- People feel it is worth the money (5 mentions)
PEOPLE COMPLAIN ABOUT
- Sometimes makes things up (3 mentions)
TOPIC BY TOPIC
- Help with codePEOPLE LOVE THIS
7 thumbs up · 0 thumbs down
- PricePEOPLE LOVE THIS
5 thumbs up · 1 thumbs down
- Getting facts rightA SORE SPOT
0 thumbs up · 3 thumbs down
IN THEIR OWN WORDS
- FROM REDDIT >
“My Coding Agent Ran DeepSeek-R1-0528 on a Rust Codebase for 47 Minutes (Opus 4 Did It in 18): Worth the Wait?.”
- FROM REDDIT >
“Deepseek r1 hallucinations.”
LOOKING FOR AN ALTERNATIVE?
Checked picks first: tags say why you would switch, stars say how fully each one stands in for R1.
> SOURCES (12)
- REDDIT · 2025-07-23 · 529 UPVOTESChina is winning the AI race for coding while being open source
China is winning the AI race for coding while being open source
- REDDIT · 2025-08-26 · 439 UPVOTESHot take: The best system prompt in SillyTavern is… none at all.
Hot take: The best system prompt in SillyTavern is… none at all.
- REDDIT · 2025-05-28 · 395 UPVOTESDeepSeek-R1-0528
DeepSeek-R1-0528
- REDDIT · 2025-05-28 · 372 UPVOTESNEW DeepSeek-R1-0528 🔥 Let it burn
NEW DeepSeek-R1-0528 🔥 Let it burn
- REDDIT · 2025-05-30 · 355 UPVOTESYou can now run the full DeepSeek-R1-0528 model locally!
You can now run the full DeepSeek-R1-0528 model locally!
- REDDIT · 2025-05-30 · 343 UPVOTESYou can now run DeepSeek-R1-0528 on your local device! (20GB RAM min.)
You can now run DeepSeek-R1-0528 on your local device! (20GB RAM min.)
- REDDIT · 2026-07-21 · 247 UPVOTESDeepSeek V4 Pro vs DeepSeek R1-0528
DeepSeek V4 Pro vs DeepSeek R1-0528
- REDDIT · 2025-05-29 · 197 UPVOTESDeepSeek R1 0528 just dropped today and the benchmarks are looking seriously impressive
DeepSeek R1 0528 just dropped today and the benchmarks are looking seriously impressive
- REDDIT · 2025-09-01 · 176 UPVOTESFREE DEEPSEEK V3.1 FOR ROLEPLAY
FREE DEEPSEEK V3.1 FOR ROLEPLAY
- REDDIT · 2025-05-28 · 176 UPVOTESNew DeepSeek model released on Hugging Face DeepSeek-R1-0528
New DeepSeek model released on Hugging Face DeepSeek-R1-0528
- REDDIT · 2025-07-20 · 134 UPVOTESMoth.Narrator - A Vector-Driven Roleplaying System - Preset [DeepSeek/Gemini]
Moth.Narrator - A Vector-Driven Roleplaying System - Preset [DeepSeek/Gemini]
- REDDIT · 2025-05-28 · 129 UPVOTESdeepseek-ai/DeepSeek-R1-0528
deepseek-ai/DeepSeek-R1-0528