ModelDock research

Benchmark Data

Ordinary-lane hardware · source medians · adjustable economics

Your workload

Reading is the model taking in your prompt, files, and chat history. Writing is the answer it generates. Long documents and coding sessions are usually read-heavy, so the default starts at 90% reading / 10% writing. Stable MTP is treated as normal, not a separate scenario.

Model Quantization

37 listed hardware profilesOriginal catalog order · click a column to sort

2× GPU build note Dual-card rigs require chassis clearance and slot spacing for wide cards, stable high-headroom power delivery and airflow, plus more involved installation and multi-GPU scheduling than a single-card node.

CapabilityEconomics for your workloadEvidenceMarket
Mac Studio M5 Ultra 96 GB30-core CPU · 64-core GPU · 96GB unified memory96 GB4,083139.6Good~360W—$5,49992.2$0.047$1.30$14.20427 dMedian ↗
RTX 409024GB · single-card node24 GB4,000109.3Good550W$3,199$4,39975.8$0.058$1.98$11.67454 dMedian ↗
RTX 508016GB GDDR7 · single-card node16 GB3,591.480.1Good~510W$1,600$2,80057.6$0.059$1.84$8.87398 dMedian ↗
AMD Radeon AI PRO R970032GB GDDR6 · single-card node32 GB2,197.480.8Good~420W$1,700$2,90052.5$0.059$1.51$8.08442 dMedian ↗
RTX 309024GB · single-card node24 GB2,09486.5Good500W$1,399$2,59954.5$0.059$1.80$8.39395 dMedian ↗
RTX 509032GB · single-card node32 GB6,256.6173.8Good700W$7,250$8,450120.1$0.060$2.52$18.50529 dMedian ↗
RTX 5070 Ti16GB · Q3 or smaller only16 GB2,498.571.1Good450W$1,235.5$2,435.548.9$0.060$1.62$7.53413 dMedian ↗
RTX 4070 Ti SUPER 16GB16GB GDDR6X · single-card node16 GB1,70072Good~435W$920$2,12045$0.061$1.57$6.94395 dMedian ↗
2× RTX 5070 Ti16GB each · dual-card node32 GB3,03096Good620W$2,471$3,67164.5$0.066$2.23$9.94477 dMedian ↗
RTX 3090 Ti24GB · single-card node24 GB~2,255.1~93.1Good600W$1,900$3,10058.6$0.066$2.16$9.03452 dEstimate
AMD Radeon RX 7900 XTX24GB GDDR624 GB1,529.271.2Good475W$1,200$2,40043.4$0.070$1.71$6.68484 dMedian ↗
2× Tesla V100 32GB32GB each · dual-card PCIe node64 GB2,355.378.8Good~650W$1,500$2,70052.3$0.073$2.34$8.06473 dMedian ↗
AMD Radeon RX 9070 XT 16GB16GB GDDR6 · single-card node16 GB1,66054.9Good~454W$800$2,00036.6$0.075$1.63$5.63501 dMedian ↗
Mac Studio M5 Ultra 256 GB36-core CPU · 80-core GPU · 256GB unified memory256 GB3,441.5155Good~360W—$10,79995.3$0.076$1.30$14.68808 dMedian ↗
2× RTX 5060 Ti16GB each · dual-card node32 GB1,60267.6Good480W$1,760$2,96042.3$0.079$1.73$6.52618 dMedian ↗
RTX 5070 12 GB12GB GDDR7 · single-card node12 GB1,443.248.3Good~400W$835$2,03532.1$0.080$1.44$4.94582 dMedian ↗
2x RTX 3090 24 GB24 GB each · dual-card layer split48 GB2,137.6111.3Tight~850W$2,798$3,99865.5$0.080$3.06$10.08570 dMedian ↗
Mac Studio M5 Max 128 GB40-core GPU · 128GB unified memory128 GB2,146.565.2Good~180W—$5,39944.3$0.081$0.65$6.82876 dMedian ↗
Ryzen AI Max+ 395 128 GBRadeon 8060S · 128GB unified memory128 GB1,242.747.5Good~170W—$3,50030.5$0.083$0.61$4.70856 dMedian ↗
2× AMD Radeon AI PRO R9700 32 GB32 GB each · dual-card node · card-set price derived: 2 × $1,699.99; no observed pair listing64 GB4,244.579.2Good~750W$3,400$4,60058.6$0.089$2.70$9.02729 dMedian ↗
Intel Arc Pro B7032GB GDDR632 GB782.851.4Good350W$1,300$2,50027.9$0.094$1.26$4.30823 dMedian ↗
MacBook Pro M5 Max 128 GB128GB unified memory128 GB1,245.577.6Good120W—$6,69943$0.096$0.43$6.621,084 dMedian ↗
DGX Spark128GB unified memory128 GB2,228.548.7Good170W—$5,10035.2$0.097$0.61$5.411,062 dMedian ↗
2x TITAN RTX 24 GB24 GB each · dual-card layer split48 GB1,713.466.1Good~710W$1,681$2,88142.4$0.098$2.56$6.53726 dMedian ↗
Intel Arc Pro B60 24GB24GB GDDR6 · single-card node24 GB1,03435.5Good~350W$750$1,95023.4$0.099$1.26$3.61831 dMedian ↗
2x RTX 3060 12 GB12 GB each · dual-card layer split24 GB1,239.841.3Good~490W$614$1,81427.4$0.101$1.76$4.22738 dMedian ↗
RTX PRO 6000 Blackwell96GB GDDR7 ECC96 GB8,987.9171.1Good720W$18,000$19,200126.2$0.104$2.59$19.431,140 dMedian ↗
AMD Radeon RX 6900 XT 16GB16GB GDDR6 · single-card node16 GB46647.6Good~450W$469$1,66921.4$0.118$1.62$3.30994 dMedian ↗
2x AMD Radeon RX 6900 XT 16GB16 GB each · dual-card layer split32 GB772.363Good~750W$938$2,13831.4$0.123$2.70$4.831,002 dMedian ↗
RTX 3060 12 GB12 GB GDDR6 · single-card node; host RAM offload12 GB82020.2Good~320W$360$1,56014.3$0.140$1.15$2.201,489 dMedian ↗
Mac Studio M5 Max 64 GB40-core GPU · 64GB unified memory64 GB~517.9~36Good~180W—$3,79919.1$0.143$0.65$2.951,653 dEstimate
Mac mini M5 Pro 64 GB18-core CPU · 20-core GPU · 64GB unified memory64 GB43019.2Good~110W—$2,89911.8$0.168$0.40$1.822,030 dMedian ↗
MacBook Pro M5 Max 64 GB40-core GPU · 64GB unified memory · source chassis undisclosed64 GB517.936Good~120W—$5,09919.1$0.169$0.43$2.952,028 dMedian ↗
Mac Studio M4 Max 128 GBsource-backed oMLX profile128 GB446.832.5Good145W—$6,50017$0.241$0.52$2.613,111 dMedian ↗
Mac Studio M3 Ultra 512 GB80-core · 512GB unified memory512 GB479.618.1Good330W—$9,49911.7$0.548$1.19$1.8015,577 dMedian ↗
RTX 4070 12 GB12GB board-dependent GDDR6/GDDR6X · single-card node12 GB1,37636.9Good~350Wpending—25.7pending———Median ↗
RTX 4080 16GB16GB GDDR6X · stock single-card node; host RAM separate16 GB1,996.366Good~470Wpending—43.9pending———Median ↗
capability efficiency cost ~ hardware-scaled rate estimate or incomplete evidence

Assumptions

90% reading / 10% writing · 24 active h/day
Whole-node power · Qwen3.8 27B · ordinary local use

Transparent calculation

total GPU rig = GPU price + $1,200 host
local $/MM = (energy + hardware allocation) / daily capacity
break-even days = total rig / (API value/day − energy/day)Sequential single-user model: reading time + writing time; no concurrency or overlap assumed.

Evidence data

Open the source spread behind published hardware records.

Methodology

The conditions behind the table.

Performance uses a source-visible MTP-ready median. The economics below are adjustable because they describe your usage—not the benchmark run.

Default path

Qwen3.8 27B under local, single-user, single-stream use with stable MTP/speculative draft treated as the normal path. Source-marked short-context probes, SGLang, and DFlash/DFlash2 stay outside the default median.

Per-metric median

Reading (prefill) and writing (decode) are medianed independently. Source conditions—quant, context, runtime, topology, and draft depth—remain visible after clicking Median.

Evidence labels

Median links to the source spread. ~ Rate estimate uses a disclosed conservative hardware ratio derived from measured and reported reading and writing data; it remains separate from source medians. Pending means no ordinary-lane source metric has been collected yet.

Pricing basis

Discrete GPU totals use the dated GPU price plus a $1,200 host/platform allowance. Break-even divides total rig price by equivalent API value per day less direct energy cost; it is not an investment-return guarantee.

Market search

Find equivalent offers

Search links open on the indicated marketplace. No affiliate links, live-price feed, or seller ranking is used.