Model-based pricing: FLUX.1 [dev] $0.0125 per image, FLUX.1 [schnell] $0.0015 per image, FLUX.1 [pro] $0.02 per image, Stable Diffusion XL $0.002 per image, Wan 2.1 Video $0.2 per video, Hunyuan 3D $0.025 per 3D model. Hardware pricing billed by the second: Nvidia H100 GPU $0.00083 per second, Nvidi
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Key features
Image generation
Video generation
Image restoration
Image captioning
Model fine-tuning
Speech generation
Automatic scaling
Sub-100ms latency
Python, JavaScript, and REST API support
99.9% uptime guarantee
Constant-state attention: models serve any context length from the same memory per request
HCGM: models run from disk storage instead of memory
M-Rail: context processed by a model can be reused instantly in future requests
CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
Organ grafting: transfer capabilities between models without training
Personal instruction set (ISA) compiled on device from phone signals
Population ISA: compile laws from many people without personal records
Digital twins of customers, fleets, cities or markets
Results identical across all machines and architectures
Computation cost follows novelty not data size
What makes it different
Cheapest serverless AI API pricing, saving up to 62% compared to competitors
One-line code deployment
Pay only for what you use, scale to zero when idle
Access to 100+ production-ready AI models
Up to 4x faster performance on diffusion models
Constant memory cost regardless of context length or data size
Exact reuse: every computed result is kept and reused instantly
Portable execution with bit-identical results across all hardware
Models run from storage without retraining or fitting in memory
Privacy-preserving: raw data never leaves the device
Synexa
Wirkung