Skip to content
AI Compute Radar

The Tower Report · Week 45, 2026

Week 45, 2026 · 2 Nov – 8 Nov

Granite 4.2 3B is the pick; Qwen AgentWorld 35B-A3B gained the most

Compute weather
H100 at the Vast.ai median on 8 Nov: $3.15 per hour · the cheapest big cloud (AWS) listed 2.2× that · 18 price moves of 10 % or more · 5 popularity moves of 5 points or more. All prices

Name your graphics card or Mac once and every issue opens with what it runs this week. Choose your card

Pick of the week

A 2 GB file that runs on everything we track

Granite 4.2 3B · IBM · Q4_K_M 2.1 GB

Granite 4.2 3B: the pick of the week

Granite 4.2 3B by IBM takes the ninth pick: the largest popularity gain between the readings of 31 October and 6 November among models that run comfortably on a 24 GB card and are not on cooldown. Its Q4_K_M file measures 2.1 GB, read from IBM's own GGUF repository. At 8K context it needs 3.6 GB and runs easily on every card and Mac we track, the 8 GB cards included; at 32K it needs 6.3 GB, runs on the 8 GB cards and runs easily from 11 GB up.

Read the report and its caveats →

The pick on your card

How Granite 4.2 3B's memory grows with context

ContextMemoryComfortable
8K tokens 3.6 GB from 8 GB
32K tokens 6.3 GB from 8 GB
64K tokens 9.8 GB from 16 GB
128K tokens 16.8 GB from 24 GB

The model accepts up to 131,072 tokens of context. Memory = measured weights + computed context cache + runtime, on an RTX 4090's 21.1 GB usable.

Run it against your own card →

What to run this weekend

The largest and the hottest model that fit each card class

Card classRuns comfortably at 8K context
12 GB
RTX 3060 12GB · 15 of 49 fit
Largest: Gemma 4 12B (8.1 GB)Hottest: Gemma 4 E4B (5.8 GB)
16 GB
RTX 4060 Ti 16GB · 17 of 49 fit
Largest and hottest: gpt-oss 20B (12.2 GB)
24 GB
RTX 4090 · 24 of 49 fit
Largest: GLM-4.7-Flash (18.9 GB)Hottest: Qwen3.8 27B (17.1 GB)

"Runs" means our verdict for the measured Q4_K_M file at 8K context is "Runs easily" or "Runs". Largest = most parameters; hottest = highest popularity score. Check your own card

Departures board

Who gained and who lost this week

Model2 Nov8 NovMove
Qwen AgentWorld 35B-A3B
Alibaba Qwen · trending 0.5 → 3 · 10,200 downloads in 30 days (+7.3 % w/w)
19 52 +33
GLM-4.7-Flash
Zhipu AI · trending 0.5 → 4 · 1,033,507 downloads in 30 days (+6.7 % w/w)
37 64 +27
GLM-5.3
Zhipu AI · trending 39 → 32 · 2,052,042 downloads in 30 days (−17.1 % w/w)
72 48 −24
Hy3
Tencent · trending 0.5 → 0 · 1,177,879 downloads in 30 days (−11.5 % w/w)
51 27 −24
GLM-5.2
Zhipu AI · trending 7 → 7 · 324,229 downloads in 30 days (+23.1 % w/w)
44 64 +20

The score behind these moves is the one the board shows: a published composite of Hub trending, download growth, 30-day downloads and likes. On the pages it reads as popularity. The full board

Price board

What an hour cost last week

GPUVast.ai medianvs. week beforeCheapest sourceCloud vs. market
RTX 3090 $0.25+2 % $0.20
Clore.ai median
—
RTX 4090 $0.51+4 % $0.34
RunPod list
—
RTX 5090 $0.71−4 % $0.67
Vast.ai median
—
L40S $0.800 % $0.79
RunPod list
2.3×
AWS
A100 $0.84−2 % $0.62
Clore.ai median
3.3×
AWS
H100 $3.22+4 % $2.59
RunPod list
2.2×
AWS
H200 $5.75+12 % $3.59
RunPod list
1.4×
AWS
B200 $10.63+21 % $5.98
RunPod list
1.2×
Oracle Cloud

Week median = the median of the week's daily medians, glitch days excluded. "Few offers" marks a median over fewer than five offers. Cloud vs. market = cheapest big-cloud list price ÷ the same day's Vast.ai median. What these numbers are

Chart of the week

B200: fourteen days of hourly prices

The B200 made the week's largest move on the price board, +21 % against the week before.

B200 on Vast.ai, daily median per hour, 26 Oct $10.63 to 8 Nov $11.25

Daily median of Vast.ai's verified offers, UTC days, glitch days excluded by the same rule as the price board. Gaps are days without a reading.

Price moves

The week's largest day-over-day moves

  • 4 Nov · A100 at Clore.ai: +58 % ($0.50 → $0.79)
  • 5 Nov · B200 at Vast.ai: +21 % ($8.75 → $10.63)
  • 3 Nov · H200 at Vast.ai: +21 % ($5.20 → $6.31)

What the pick costs

Granite 4.2 3B, two ways, per day

For 500,000 tokens a day over 4 active hours, the calculator's "regular" preset:

WayPer dayAssumptions
On your own RTX 4090$2.01$1,599 launch price over 3 years plus 550 W at $0.25/kWh
Rented RTX 3090$0.98$0.25 an hour at the Vast.ai median, 4 hours a day
Recalculate with your own usage →

Newly measured

Files measured this week, and where they fit

  • gpt-oss 20B (Q4_K_M, 10.8 GB): fits a 16 GB, 24 GB card comfortably at 8K.
  • Gemma 4 12B (Q4_K_M, 6.6 GB): fits a 12 GB, 16 GB, 24 GB card comfortably at 8K.
  • Nemotron Nano 9B v2 (Q4_K_M, 6.1 GB): fits a 12 GB, 16 GB, 24 GB card comfortably at 8K.
  • Ornith 1.5 9B (Q4_K_M, 5.4 GB): fits a 12 GB, 16 GB, 24 GB card comfortably at 8K.
  • Granite 4.2 8B (Q4_K_M, 5 GB): fits a 12 GB, 16 GB, 24 GB card comfortably at 8K.
  • LFM2.5 8B-A1B (Q4_K_M, 4.8 GB): fits a 12 GB, 16 GB, 24 GB card comfortably at 8K.

Memory from the measured GGUF file plus the computed context cache; "runs" means our verdict is "Runs easily" or "Runs". Check your own card

First reading

Models scored for the first time

Rent or buy, one number

3,135 rented hours

At last week's Vast.ai median of $0.51 an hour, the RTX 4090's launch list price of $1,599 (NVIDIA launch MSRP, Oct 2022) equals 3,135 rented hours, ≈ 8 years at 8 h/week. Electricity and resale value are left out on both sides.

The break-even, with your own hours →

Class of the week

A100

Last week's Vast.ai median: $0.84 an hour. Against 30 days ago: +10 %. Since we started reading it 46 days ago: +5 %. Cheapest source at the week's end: Clore.ai at $0.62 (marketplace median). The cheapest big cloud, AWS, listed 3.3× the marketplace median. 34 of 49 tracked open models run comfortably on one at 8K context; the largest comfortable one is gpt-oss 120B.

Everything on the A100 →

Maker board

Which labs hold the top-10 slots

LabTop-10 slotsMean Heat7-day change
Alibaba Qwen
best placed: Qwen3.8 27B
4 59 +4
Google
best placed: Gemma 4 31B
3 62 −2
OpenAI
best placed: gpt-oss 20B
1 62 −8
Zhipu AI
best placed: GLM-5.3-Flash
1 58 +4
Meta
best placed: Llama 3.1 8B
1 54 −3

Counted from the popularity ranking when this issue was built, Monday 05:45 UTC; the 7-day change is the mean per-model change. The full board

New on the radar

Added this week

  • LFM3 1.7B (Liquid AI), added 2 Nov
  • Radar Cards claimed: 5 in total. The next number of the RTX 4090 card is #2.

From the tower

What changed on the site

  • On cooldown and therefore not eligible as the next pick: Granite 4.2 3B (picked 2026-w45), Gemma 4 E4B (picked 2026-w44), Qwen3 8B (picked 2026-w43), LFM2.5 8B-A1B (picked 2026-w42). The rule

Forward this to someone with a graphics card. They can subscribe at aicomputeradar.dev/newsletter. Replies reach a person.

The Tower Report · every Monday

Monday's board, in your inbox.

Prices, the pick, what newly fits your card. Measured, never forecast. One mail a week, one click to leave.

Name your card and every issue opens with what it runs this week. You can change it by subscribing again with the same address.

Double opt-in; you confirm by one click. Details in the privacy policy · what is in an issue

Keep reading