LOADING DATASHEET
LOADING DATASHEET
by DeepSeek
RANKED #16 OF 267 ASSISTANTS · OVERALL #26 OF 6,566 · VIBE SCORE 7.1 · 998 VOICES
A versatile AI model designed to help you write text and write code effectively.
85 mentions
29 mentions
26 weeks · 869 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 V3.2 once and it's yours. No subscription, no rate limits, works offline.
685B parameters (Mixture-of-Experts, 37B active per token); an IQ2_XXS quant is about 217 GB, while a Q4_K_M or MXFP4 quant is about 341 to 352 GB.
Mac Studio M2 Ultra (192GB Unified Memory)
192 GB UNIFIED MEMORY
~$3800 USEDIQ2_XXS quant. Since the model requires 217 GB, it will swap heavily to SSD, resulting in a glacial speed of less than 1
Mac Studio M3 Ultra (256GB Unified Memory)
256 GB UNIFIED MEMORY
~$5500 STREET PRICEIQ2_XXS or Q2_K quant of about 217 GB fully in unified memory, delivering 5 to 10 tokens per second with a limited conte
Mac Studio M3 Ultra (512GB Unified Memory)
512 GB UNIFIED MEMORY
~$10000 USEDQ4_K_M or MXFP4 quant of about 341 to 352 GB fully in unified memory, running at 15 to 20 tokens per second with up to 1
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 V3.2 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 SPOTMac Studio M3 Ultra (256GB Unified Memory) | FULL POWERMac Studio M3 Ultra (512GB Unified Memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | —★★★★★ | ~67 S★★★★★ | ~29 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | —★★★★★ | ~3.3 MIN★★★★★ | ~86 S★★★★★ |
| Build a websitea small landing page, markup and styles together | —★★★★★ | ~18 MIN★★★★★ | ~7.6 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | —★★★★★ | ~56 MIN★★★★★ | ~24 MIN★★★★★ |
| Build a gamea playable browser game in one file | —★★★★★ | ~33 MIN★★★★★ | ~14 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. A DASH MEANS NO SPEED WAS RESEARCHED FOR THAT RIG. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Users appreciate DeepSeek V3.2 for coding support and managing long documents, but some note it can be slow, make errors, or ignore system instructions in long chats.
655 POSTS · 343 COMMENTS · HACKER NEWS · GITHUB · X · REDDIT · DEV.TO · LEMMY · BLUESKY · DEV FORUMS · BLOG
5 thumbs up · 11 thumbs down
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“Deepseek V3.2 prices are insanely cheap.”
“DeepSeek V3.2 ignores post-history system instructions when conversation history has strong narrative momentum - anyone else hit this?.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for DeepSeek V3.2.
DeepSeek-v3.2: Pushing the frontier of open large language models [pdf]
Grok 4.6 ranks #1 on RuntimeWire’s Newsroom Reliability v0.2 benchmark with a score of 0.79, beating GPT-5.6 Sol, Claude
Deepseek releases cheap general imo level model before openAI. Getting gold on imo, icpc and more (deepseek v3.2)
Deepseek V4 - All Leaks and Infos for the Release Day - Not Verified!
DeepSeek-OCR 2 is out now! 🐋
DeepSeek launches V3.2 with sparse attention, DeepSeek V4 possibly released in October
DeepSeek-v4 Benchmarks Leaked
DeepSeek v3.2 is amazing
DeepSeek V3.2 & V3.2 Speciale Released
DeepSeek Harness got 114k stars on @github within 3 days. Last time something like this happened was OpenClaw got 100k i
might be a form of Jevons Paradox
I validated deepseek-v3.2's benchmark claims with my own