LIVE
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
All systems operational0 AI providers monitored, polled every 2 minutes
Live status

Laptops

High-VRAM gaming and developer laptops capable of running local language models, plus MacBooks for on-device unified-memory inference.

5 productsLast reviewed:

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Lenovo
Lenovo Legion Pro 7i Gen 10 (16-inch, RTX 5090)
Editor's PickBest for Local LLMNew
View on Amazon: Lenovo Legion Pro 7i Gen 10 (16-inch, RTX 5090)

A 24GB VRAM RTX 5090 laptop that runs 30B parameter models locally in 4-bit without choking, and trains LoRA adapters on consumer datasets overnight.

  • ·Intel Core Ultra 9 275HX, 24 cores
  • ·NVIDIA RTX 5090 Laptop GPU, 24GB GDDR7, up to 175W TGP
  • ·32GB or 64GB DDR5-5600 (configurable)
  • ·1TB or 2TB PCIe Gen4 NVMe SSD
  • ·16-inch WQXGA OLED, 240Hz, 500 nits, Wi-Fi 7
AI use: Local LLMs up to 30B 4-bit quantized, Claude Code at full speed, Stable Diffusion XL, LoRA fine-tuning on 7B-13B models
$3,199 to $3,999
ASUS ROG Strix SCAR 18 (2026) G835
Best for Local LLMNew

An 18-inch mobile workstation with a 24GB RTX 5090 and up to 128GB of DDR5, which means you can hold a full 70B model in system RAM and stream layers to the GPU for hybrid inference.

  • ·Intel Core Ultra 9 290HX Plus, 24 cores
  • ·NVIDIA RTX 5090 Laptop GPU, 24GB GDDR7, 175W TGP
  • ·Up to 128GB DDR5-6400 (64GB + 64GB SO-DIMM)
  • ·Up to 8TB SSD (4TB + 4TB)
  • ·18-inch 4K Mini LED, 240Hz, 1600 nits peak, 2000+ dimming zones
AI use: Local LLMs up to 30B fully on GPU, 70B with CPU offload, Stable Diffusion 3.5, multi-day fine-tuning runs with adequate thermals
$3,899 to $5,499
Razer
Razer Blade 18 (2026)
New
Visit product site: Razer Blade 18 (2026)

Razer's flagship configures up to 128GB DDR5 alongside the 24GB RTX 5090, putting it in the same hybrid-inference tier as the SCAR 18 but in a sleeker CNC aluminum chassis.

  • ·Intel Core Ultra 9 290HX Plus, 24 cores, 5.5 GHz boost
  • ·NVIDIA RTX 5090 Laptop GPU, 24GB GDDR7, 200W thermal budget
  • ·Up to 128GB DDR5-6400
  • ·1TB to 2TB SSD
  • ·18-inch dual-mode display (UHD+ 240Hz or FHD+ 440Hz), Thunderbolt 5
AI use: Local LLMs 30B on GPU, 70B with CPU offload, Stable Diffusion workflows, on-the-road agent development
$3,999 to $6,999
Apple MacBook Pro M5 Max (14-inch and 16-inch)
Editor's PickNew

Up to 128GB of unified memory at 614 GB/s makes the M5 Max the most capable consumer laptop for fitting larger LLMs entirely in memory, and the silent thermals run for hours on battery.

  • ·Apple M5 Max, 18-core CPU (6 efficiency + 12 performance)
  • ·32-core GPU with hardware ray tracing and Neural Engine
  • ·Up to 128GB unified memory, 614 GB/s bandwidth
  • ·Up to 8TB SSD, 14.5 GB/s read/write
  • ·14.2-inch or 16.2-inch Liquid Retina XDR, Wi-Fi 7, Thunderbolt 5
AI use: Local LLMs up to 70B 4-bit via MLX or llama.cpp, on-device whisper transcription, MLX fine-tuning of 7B-13B models, Claude Code on battery for hours
$3,599 to $7,199
Framework Laptop 16 with RTX 5070 Graphics Module
Editor's PickNew

The only modular laptop where the GPU is a user-swappable cartridge, so when the RTX 6070 module ships you upgrade the laptop, not replace it.

  • ·AMD Ryzen AI 7 350 or Ryzen AI 9 HX 370
  • ·NVIDIA RTX 5070 Laptop GPU module, 8GB or 12GB GDDR7, 100W TGP on AC
  • ·16GB to 64GB DDR5-5600 (user upgradeable)
  • ·512GB to 2TB NVMe SSD, modular expansion cards
  • ·16-inch 2.5K 165Hz IPS, swappable input deck
AI use: Local LLMs 7B-13B 4-bit, Stable Diffusion 1.5 and SDXL, light fine-tuning with LoRA, agent prototyping with a repairability-first hardware story
$2,149 to $3,199
All gear categoriesDatacenter chip specs (H100, MI300, TPUs)