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GLM 4.5 Flash
◆ OPEN
by Zhipu
OPEN WEIGHTSLOCALAPIREASONING
RANKED #189 OF 317 ASSISTANTS · OVERALL #273 OF 493 RANKED · VIBE SCORE 6.1 · 134 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Efficient GLM model for fast reasoning, coding, and agent workflows
HAPPY10.0
5 mentions
SAD5.0
3 mentions
VIBE TRAJECTORY
26 weeks · 143 voices in this window
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
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 GLM 4.5 Flash once and it's yours. No subscription, no rate limits, works offline.
GLM-4.5 series ranges from 106B (Air) to 355B MoE, while GLM-4 Flash / 9B variants are ~9B parameters (Q4 file is ~5.5 to 6 GB)
- BARE MINIMUM
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$260 USEDGLM-4 9B / Flash Q4_K_M, ~35 tok/s, 8k context
- SWEET SPOT
Nvidia GeForce RTX 4070 Ti Super
16 GB VRAM
~$750 NEWGLM-4 9B / Flash Q8 or Q4 at long context, ~65 tok/s, 32k context
- FULL POWER
Apple Mac Studio M2 Ultra
128 GB UNIFIED MEMORY
~$3,600 USEDGLM-4.5-Air 106B MoE at Q4_K_M or 9B variants at full BF16, ~25 tok/s, 128k context
LEARN HOW TO SET IT UP
WILL MY BOX RUN GLM 4.5 FLASH?
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 GLM 4.5 Flash takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNvidia GeForce RTX 3060 12GB | SWEET SPOTNvidia GeForce RTX 4070 Ti Super | FULL POWERApple Mac Studio M2 Ultra |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~14 S★★★★★ | ~8 S★★★★★ | ~20 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~43 S | ~23 S | ~60 S |
| Build a websitea small landing page, markup and styles together | ~3.8 MIN★★★★★ | ~2.1 MIN★★★★★ | ~5.3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~6.4 MIN★★★★★ | ~17 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.1 MIN★★★★★ | ~3.8 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
Not enough discussion about GLM 4.5 Flash yet to call it. We found 134 posts but people did not say much either way.
113 POSTS · 21 COMMENTS · GITHUB · REDDIT · HACKER NEWS · X · BLUESKY
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?
Other models the crowd has fully reviewed, starting with text models like this one.
DeepSeek V4 Flash
Claude Opus 5.5> SOURCES (12)
- REDDIT · 2026-09-07 · 277 UPVOTESTIL why older models were PEAK
TIL why older models were PEAK
- REDDIT · 2026-03-21 · 111 UPVOTESFree Model List (API Keys)
Free Model List (API Keys)
- X · 2026-08-19 · 8 UPVOTESWe put slime at the center of our partner wall 🫡🧡 Context: slime is the RL framework behind GLM-5.3, GLM-5.2, GLM-5.1,
We put slime at the center of our partner wall 🫡🧡 Context: slime is the RL framework behind GLM-5.3, GLM-5.2, GLM-5.1,
- REDDIT · 2026-09-25 · 7 UPVOTESComment in r/SillyTavernAI
Comment in r/SillyTavernAI
- REDDIT · 2026-03-25 · 6 UPVOTESAwesome Free LLM APIs
Awesome Free LLM APIs
- HACKER NEWS · 2026-10-04 · 5 UPVOTESShow HN: MapLibre Compose, Interactive Vector Maps for Compose Multiplatform
Show HN: MapLibre Compose, Interactive Vector Maps for Compose Multiplatform
- REDDIT · 2026-09-02 · 4 UPVOTESComment in r/SillyTavernAI
Comment in r/SillyTavernAI
- REDDIT · 2026-07-27 · 1 UPVOTESNeed some assistance
Need some assistance
- GITHUB · 2026-10-16 · 0 UPVOTESRemove hardcoded test IDs and the app-side user_id=1 coupling
Remove hardcoded test IDs and the app-side user_id=1 coupling
- GITHUB · 2026-10-17 · 0 UPVOTESFix performance summary aggregates to use the filtered relation without a Cartesian product
Fix performance summary aggregates to use the filtered relation without a Cartesian product
- REDDIT · 2026-10-14 · 0 UPVOTESAnyone using Open Weight models running Locally for actual development?
Anyone using Open Weight models running Locally for actual development?
- GITHUB · 2026-10-16 · 0 UPVOTESThread page Edit dialog saves each Add immediately, drops issues, and appends them out of natural order
Thread page Edit dialog saves each Add immediately, drops issues, and appends them out of natural order