DeepInfra raises $107M Series B to scale the inference cloud — read the announcement
Juggernaut FLUX is live on DeepInfra!
At DeepInfra, we care about one thing above all: making cutting-edge AI models accessible. Today, we're excited to release the most downloaded model to our platform.
Whether you're a visual artist, developer, or building an app that relies on high-fidelity outputs, this is the model series you need.
With over 12 million downloads across platforms like HuggingFace and Civitai, the Juggernaut FLUX Series has earned its place as the most trusted name in photorealistic AI image generation. This series delivers results. From lightning-fast inference speeds to pro-grade detail rendering, these models are for creators who expect more from their tools.
Juggernaut Lightning Flux
Prompt: A Brazilian street dancer with caramel skin and curly hair wearing a cropped graphic tee and loose cargo pants mid-movement in an expressive hip-hop pose, a vibrant graffiti-covered wall behind them. Golden hour lighting.
Num inference steps: 4
Seed: 42
Juggernaut Flux Base
Prompt: A Brazilian street dancer with caramel skin and curly hair wearing a cropped graphic tee and loose cargo pants mid-movement in an expressive hip-hop pose, a vibrant graffiti-covered wall behind them. Golden hour lighting.
Num inference steps: 33
Seed: 42
Stay Connected with DeepInfra
Do not forget to follow us on Linkedin and on X (formerly Twitter).
Gemma 4 Model Overview: Features, Architecture & Use Cases<p>Gemma 4 is Google DeepMind’s latest family of open-weight models, released on April 3, 2026 under the Apache 2.0 license. The family spans four model sizes — from edge-optimized variants for mobile devices to a 31B dense model for server-side deployments — with every model supporting multimodal input, built-in reasoning, and a context window of […]</p>
MiniMax-M2.5 API Benchmarks: Latency, Throughput & Cost<p>About MiniMax-M2.5 MiniMax-M2.5 is a state-of-the-art open-weights large language model released in February 2026. Built on a 230B-parameter Mixture of Experts (MoE) architecture with approximately 10 billion active parameters per forward pass, it features Lightning Attention and supports a context window of up to 205,000 tokens. The model uses extended chain-of-thought reasoning to work through […]</p>
NVIDIA Nemotron 3 Super 120B API Benchmarks<p>NVIDIA Nemotron 3 Super 120B A12B is available across multiple API providers, and the spread in performance and cost is wide enough to change deployment decisions. Artificial Analysis benchmarks three providers — Lightning AI, CoreWeave, and Nebius — with output speed ranging from 154 to 509 t/s (a 3.3x gap), TTFT spanning 0.98s to 1.94s, […]</p>
© 2026 DeepInfra. All rights reserved.