LOADING DATASHEET
LOADING DATASHEET
by inclusionAI
RANKED #164 OF 317 ASSISTANTS · OVERALL #216 OF 493 RANKED · VIBE SCORE 6.8 · 5,747 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
A fast vision and text AI designed to analyze images, write, and help with everyday digital tasks.
10 mentions
5 mentions
26 weeks · 5,752 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 Ling 3.0 Flash VL once and it's yours. No subscription, no rate limits, works offline.
124B parameters (5.5B active per token MoE), FP4 quantized size is around 64 GB, FP8 is around 125 GB, and BF16 is around 250 GB
Mac Studio (M2 Ultra, 128 GB RAM)
128 GB UNIFIED MEMORY
~$3500 USEDINT4/FP4 quantization, ~25 tok/s, 32k context
Mac Studio (M3 Ultra, 192 GB RAM)
192 GB UNIFIED MEMORY
~$6500 NEWFP8 quantization, ~30 tok/s, 128k context
4x NVIDIA RTX 6000 Ada (48 GB) Workstation
192 GB VRAM
~$28000 NEWFP8/BF16 tensor parallelism, ~45 tok/s, 256k 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 Ling 3.0 Flash VL takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMac Studio (M2 Ultra, 128 GB RAM) | SWEET SPOTMac Studio (M3 Ultra, 192 GB RAM) | FULL POWER4x NVIDIA RTX 6000 Ada (48 GB) Workstation |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~20 S★★★★★ | ~17 S★★★★★ | ~11 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~60 S★★★★★ | ~50 S★★★★★ | ~33 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~5.3 MIN★★★★★ | ~4.4 MIN★★★★★ | ~3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~17 MIN★★★★★ | ~14 MIN★★★★★ | ~9.3 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~10 MIN★★★★★ | ~8.3 MIN★★★★★ | ~5.6 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.
Ling 3.0 Flash VL sees steady community discussion for vision tasks, though user feedback is still developing.
452 POSTS · 5295 COMMENTS · REDDIT · BLUESKY · GITHUB · DEV FORUMS · BLOG
2 thumbs up · 1 thumbs down
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Ling 3.0 Flash VL.
GPT-6 Sol Appeared on the OpenAI API
The geopolitics of open-weight AI are accelerating again this fall, as we would expect with the risks of all AI systems (open and closed) rising rapidly. We’ve seen many news items in the last week showing both the U.S. and Chinese governments positioning…
A 13-field JSON prompt for breaking down a reference image
Ling-3.0-flash-VL just dropped from Ant Group huggingface.co/inclusionAI/... - Native image + video: understand > reas
Comment in r/artificial
Photo, screenshot, ad, or video: route the reference to a different output schema
Comment in r/singularity
Comment in r/singularity
Ling-3.0 opens six base checkpoints across three training stages
Comment in r/ollama
Harden the IPC boundary and remove HTML injection points in rendering
Local AI - How do you choose your models