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Cost leaderboard

Cost per 1M generated tokens: local electricity vs cloud rental

What it costs to generate a million tokens of Qwen 3 8B, two ways: the electricity your own machine burns doing it, and the hourly rate to rent the same class of card.

The honest framing, because the first number is startling: local electricity cost per token is remarkably low — small fractions of a cent per million tokens on efficient hardware. It is also not the whole cost. It excludes the machine itself, its amortisation, idle draw, power-supply inefficiency and every other component in the box. The cost calculator answers the question this page does not: when does buying the hardware pay for itself?

Lowest local cost$0.028 / 1MApple M5 Max
Fastest238 tok/sNVIDIA H100 80GB (SXM)
Most efficient1.50 tok/WApple M5 Max · SoC power
1 measured17 modelled on a constant fitted from real runs84 on a constant nobody has calibrated
Q4_K_M · 4K context · decode speed
HardwareSpeedPowerLocal $/1M at $0.15/kWhCloud $/1MEvidence
51 tok/s35 W SoC package$0.028—
46 tok/s35 W SoC package$0.031—
35 tok/s30 W SoC package$0.035—
40 tok/s35 W SoC package$0.037—
65 tok/s60 W SoC package$0.038—
64 tok/s60 W SoC package$0.039—
64 tok/s60 W SoC package$0.039—
36 tok/s35 W SoC package$0.040—
35 tok/s35 W SoC package$0.041—
28 tok/s30 W SoC package$0.045—
35 tok/s40 W SoC package$0.047—
25 tok/s30 W SoC package$0.050—
27 tok/s35 W SoC package$0.054—
89 tok/s120 W SoC package$0.056—
84 tok/s115 W board$0.057—
105 tok/s150 W board$0.060—
105 tok/s150 W board$0.060—
16 tok/s25 W SoC package$0.065—
14 tok/s23 W SoC package$0.066—
45 tok/s72 W board$0.067—
19 tok/s30 W SoC package$0.067—
19 tok/s30 W SoC package$0.067—
40 tok/s70 W board$0.073—
79 tok/s150 W board$0.079—
105 tok/s200 W board$0.079—
11 tok/s22 W SoC package$0.080—
52 tok/s100 W board$0.080—
181 tok/s350 W board$0.080$4.43checked 2026-07 · stale
146 tok/s300 W board$0.086$2.65checked 2026-07 · stale
14 tok/s30 W SoC package$0.087—
10 tok/s20 W SoC package$0.087—
141 tok/s300 W board$0.089—
141 tok/s300 W board$0.089—
10 tok/s22 W SoC package$0.096—
59 tok/s145 W board$0.102—
118 tok/s300 W board$0.106—
58 tok/s150 W board$0.107—
109 tok/s300 W board$0.115—
41 tok/s115 W board$0.116—
71 tok/s200 W board$0.118—
105 tok/s300 W board$0.119—
238 tok/s700 W board$0.122—
44 tok/s130 W board$0.123—
39 tok/s115 W board$0.123—
84 tok/s250 W board$0.125—
59 tok/s180 W board$0.126—
59 tok/s180 W board$0.126—
7 tok/s20 W SoC package$0.127—
71 tok/s220 W board$0.130—
79 tok/s250 W board$0.132—
22 tok/s70 W board$0.132—
90 tok/s285 W board$0.133—
141 tok/s450 W board$0.133$0.67checked 2026-07 · stale
72 tok/s230 W board$0.133—
109 tok/s350 W board$0.134$2.19checked 2026-08 · stale
110 tok/s360 W board$0.136—
96 tok/s320 W board$0.139—
170 tok/s575 W board$0.141—
94 tok/s320 W board$0.141—
63 tok/s220 W board$0.146—
170 tok/s600 W board$0.147—
38 tok/s140 W SoC package$0.153—
43 tok/s160 W board$0.154—
43 tok/s165 W board$0.158—
52 tok/s200 W board$0.160—
38 tok/s150 W SoC package$0.164—
75 tok/s295 W board$0.165—
71 tok/s285 W board$0.168—
13 tok/s54 W SoC package$0.168—
85 tok/s350 W board$0.172$1.51checked 2026-08 · stale
72 tok/s300 W board$0.173—
83 tok/s350 W board$0.175—
83 tok/s350 W board$0.175—
35 tok/s150 W board$0.177—
35 tok/s150 W board$0.177—
52 tok/s225 W board$0.180—
81 tok/s355 W board$0.183—
27 tok/s120 W SoC package$0.184—
45 tok/s200 W board$0.185—
71 tok/s315 W board$0.186—
71 tok/s320 W board$0.187—
58 tok/s263 W board$0.188—
35 tok/s160 W board$0.189—
37 tok/s170 W board$0.192—
41 tok/s190 W board$0.192—
55 tok/s260 W board$0.199—
63 tok/s300 W board$0.199—
46 tok/s220 W board$0.200—
63 tok/s304 W board$0.201—
41 tok/s200 W board$0.203—
45 tok/s220 W board$0.203—
59 tok/s290 W board$0.205—
90 tok/s450 W board$0.208—
30 tok/s165 W board$0.228—
43 tok/s245 W board$0.238—
30 tok/s190 W board$0.263—
51 tok/sno power data——
62 tok/sno power data——
52 tok/sno power data——
84 tok/sno power data——
105 tok/sno power data——
170 tok/sno power data——

SoC marks the 27 unified-memory systems in this ranking. Their power figure is whole-package power — CPU, GPU and memory controller on one die — where a discrete card reports board power for the card alone. Neither is the wall draw of the complete machine. They are not the same measurement, so read the ranking as a real difference in efficiency that is partly a difference in what is being counted.

How this is calculated

Decode speed comes from the same engine as the rest of the site — a three-term latency model with efficiency fitted per GPU architecture. Full methodology

local  $/1M = (watts / 1000) x kwh_rate x 1e6 / (tok_s x 3600)
cloud  $/1M = hourly_rate x 1e6 / (tok_s x 3600)

worked check, local:  450 W, $0.30/kWh, 100 tok/s  ->  $0.375 / 1M
worked check, cloud:  $0.34/hr,         100 tok/s  ->  $0.94  / 1M

at your rate of $0.15/kWh, a 450 W card at 100 tok/s costs
$0.188 per 1M generated tokens in electricity.

Watts is the heat, and the heat is the noise — but the mapping between them is the cooler's job, and we hold no cooler data. A 450 W card in a well-designed case can be quieter than a 250 W card with a bad fan curve, so nothing here should be read as a loudness ranking. If you own a sound meter, we would like your reading.

Kup ten sprzęt Apple MacBook Pro M5 Max — 128 GB unified memory · 614 GB/sUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Tokens per wattPerformance / $ / W / VRAMThe full databaseWhat running LLMs 24/7 costs