by Nex Agi

Nex-N2.5-Mini.

multimodal open weights workstation 35B params 262K ctx
Cheapest input
$0.025/M
on OpenRouter
Cheapest output
$0.1/M
on OpenRouter
Smallest GPU
1× Nvidia GeForce RTX 3090
$0.15/hr
Run it yourself

Cheapest hardware per quantisation.

Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/小时为当前最低报价。多卡配置在有同规格实例出租时使用真实实例价格,否则为单卡价格乘以卡数。

Quantisation Cheapest GPU config Total VRAM Live $/hr tokens/sec
FP16
FP16 — half precision (default)
96 GB $0.52/hr
估算:2 × 单卡价格
Vast.ai · 按需
— Compare →
FP8
FP8 — 8-bit float (Hopper / Blackwell)
48 GB $0.26/hr
Vast.ai · 按需
13.4 Compare →
INT4
INT4 — 4-bit integer (~4× VRAM saving)
24 GB $0.15/hr
Akash Network · 代币支付
37.3 Compare →
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