LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
Apertus v1.5 70B
◆ OPEN
by Infomaniak
OPEN WEIGHTSLOCALCODING HELPWRITING HELPFAST RESPONSES
RANKED #9 OF 267 ASSISTANTS · OVERALL #13 OF 6,566 · VIBE SCORE 7.4 · 2,526 VOICES
A fast open model built for people who need quick help with writing and coding tasks.
HAPPY10.0
2 mentions
SAD-
0 mentions
VIBE TRAJECTORY
26 weeks · 2,535 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
RUN IT ON YOUR OWN MACHINE
Open weights: download Apertus v1.5 70B once and it's yours. No subscription, no rate limits, works offline.
70B parameters, a Q4_K_M GGUF file is about 40 to 43 GB
- BARE MINIMUM
Mac Studio M2 Max (64 GB Unified Memory)
64 GB UNIFIED RAM
~$1800 USEDQ4_K_M quant, ~14 tok/s, 8k context
- SWEET SPOT
Dual Nvidia GeForce RTX 3090 (2x 24 GB)
48 GB VRAM
~$1500 USEDQ4_K_M or EXL2 4-bit quant fully offloaded, ~22 tok/s, 16k context
- FULL POWER
Mac Studio M2 Ultra (128 GB Unified Memory)
128 GB UNIFIED RAM
~$3300 USEDQ8_0 or FP16 unquantized, ~28 tok/s, 64k+ context
LEARN HOW TO SET IT UP
WILL MY BOX RUN APERTUS V1.5 70B?
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 Apertus v1.5 70B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMMac Studio M2 Max (64 GB Unified Memory) | SWEET SPOTDual Nvidia GeForce RTX 3090 (2x 24 GB) | FULL POWERMac Studio M2 Ultra (128 GB Unified Memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~36 S★★★★★ | ~23 S★★★★★ | ~18 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~1.8 MIN★★★★★ | ~68 S★★★★★ | ~54 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~9.5 MIN★★★★★ | ~6.1 MIN★★★★★ | ~4.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~30 MIN★★★★★ | ~19 MIN★★★★★ | ~15 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~18 MIN★★★★★ | ~11 MIN★★★★★ | ~8.9 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
Users praise Apertus v1.5 70B for its fast responses, strong writing, and coding help. However, people complain about high costs, frequent errors, occasional hallucinations, and annoying refusals.
171 POSTS · 2355 COMMENTS · REDDIT · BLOG · DEV FORUMS · GITHUB
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Apertus v1.5 70B.
Grok 4.6
Qwen3.8 27B
Gemini 3.7 Flash> SOURCES (12)
- REDDIT · 2026-07-24 · 183 UPVOTESswiss-ai/Apertus-v1.5 70B/8B
swiss-ai/Apertus-v1.5 70B/8B
- REDDIT · 2026-08-18 · 120 UPVOTESQwen 3.8 27B's existence raises questions
Qwen 3.8 27B's existence raises questions
- REDDIT · 2026-08-17 · 62 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-17 · 39 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-17 · 35 UPVOTESComment in r/singularity
Comment in r/singularity
- BLOG · 2026-08-02 · 32 UPVOTESLatest open artifacts (#23): Laguna S2.1, Inkling, & Kimi K3 show the utility of open models on the Pareto frontier
Consolidation has been one of the paths that many astute observers predicted for the near-future of labs training models. It was labelled as inevitable, as training costs are increasing by orders of magnitude every year. Yet, as someone who in 2024 would’ve…
- REDDIT · 2026-08-17 · 30 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-17 · 25 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-17 · 21 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-18 · 16 UPVOTESHow to optimise local AI for lots of RAM but not a lot of VRAM?
How to optimise local AI for lots of RAM but not a lot of VRAM?
- REDDIT · 2026-08-18 · 16 UPVOTESComment in r/singularity
Comment in r/singularity
- REDDIT · 2026-08-17 · 12 UPVOTESComment in r/singularity
Comment in r/singularity