LOADING DATASHEET
LOADING DATASHEET
by DeepSeek
RANKED #95 OF 319 ASSISTANTS · OVERALL #125 OF 495 RANKED · VIBE SCORE 6.1 · 679 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further
64 mentions
56 mentions
26 weeks · 224 voices in this window
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download DeepSeek V3.1 Terminus once and it's yours. No subscription, no rate limits, works offline.
671B MoE parameters (37B active), a Q4_K_M GGUF file is about 404 GB
Apple Mac Studio M2 Ultra (192 GB unified memory)
192 GB UNIFIED MEMORY
~$3800 USEDToo large for single consumer GPUs; runs extreme low-bit UD-IQ1_S quant (~160 GB footprint) at ~4 tok/s with short conte
Dual Mac Studio M2 Ultra cluster (384 GB unified memory tota
384 GB UNIFIED MEMORY
~$7600 USEDIQ3_XXS or Q3_K_M quant across 2 nodes, ~12 tok/s, 16k context
Dedicated server node with 8x NVIDIA RTX 6000 Ada (384 GB VR
384 GB - 640 GB VRAM
~$55000 USEDFull FP8 native precision or unsloth Q4_K_M quant, full 128k context, tensor parallel 8, ~40 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 V3.1 Terminus takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMApple Mac Studio M2 Ultra (192 GB unified memory) | SWEET SPOTDual Mac Studio M2 Ultra cluster (384 GB unified memory tota | FULL POWERDedicated server node with 8x NVIDIA RTX 6000 Ada (384 GB VR |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.1 MIN★★★★★ | ~42 S★★★★★ | ~13 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~6.3 MIN★★★★★ | ~2.1 MIN★★★★★ | ~38 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~33 MIN★★★★★ | ~11 MIN★★★★★ | ~3.3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~1.7 HR★★★★★ | ~35 MIN★★★★★ | ~10 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~63 MIN★★★★★ | ~21 MIN★★★★★ | ~6.3 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.
People generally like DeepSeek V3.1 Terminus, with some gripes. Biggest praise: price. Biggest gripe: getting facts right.
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Other models the crowd has fully reviewed, starting with text models like this one.
Car Wash Test on 53 leading models: “I want to wash my car. The car wash is 50 meters away. Should I walk or drive?”
DeepSeek-V3.1 has officially launched
Deepseek V4 - All Leaks and Infos for the Release Day - Not Verified!
Ollama Models Ranked by VRAM Requirements
DeepSeek v3.1 already does better than ChatGPT-5. Change my mind.
DeepSeek v3.1 just went live on HuggingFace
Kimi K2: New SoTA non-reasoning model 1T parameters open-source and outperforms DeepSeek-v3.1 and GPT-4.1 by a large margin
DeepSeek v3.1 just went live on HuggingFace
Your local Ollama agents can be just as good as closed-source models - I open-sourced Stanford's ACE framework that makes agents learn from mistakes
ALL FREE DEEPSEEK V3.1 PROVIDERS
FREE DEEPSEEK V3.1 FOR ROLEPLAY
Deepseek v3.1 beating R1 even with the thinking mode turned off. I'm very excited, please be better at RP.