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).
Llama 3.1 70B Instruct API from DeepInfra: Snappy Starts, Fair Pricing, Production Fit - Deep Infra<p>Llama 3.1 70B Instruct is Meta’s widely-used, instruction-tuned model for high-quality dialogue and tool use. With a ~131K-token context window, it can read long prompts and multi-file inputs—great for agents, RAG, and IDE assistants. But how “good” it feels in practice depends just as much on the inference provider as on the model: infra, batching, […]</p>
GLM-5 API Benchmarks: Latency, Throughput & Cost<p>GLM-5 is the latest open-weights reasoning model released by Z AI (Zhipu AI) in February 2026, characterized by high “thinking token” usage. It is a Mixture of Experts (MoE) model with 744B total parameters and 40B active parameters, scaling up from GLM-4.5’s 355B parameters. The model was pre-trained on 28.5T tokens and features a 200K+ […]</p>
Qwen3.5 122B A10B API Benchmarks: Latency, Throughput & Cost<p>About Qwen3.5 122B A10B Qwen3.5 122B A10B is Alibaba Cloud’s mid-tier multimodal foundation model, released in February 2026. It is a multimodal vision-language Mixture-of-Experts model supporting text, image, and video inputs, designed for native multimodal agent applications. It features 122 billion total parameters with 10 billion activated per token through a hybrid architecture that integrates […]</p>
© 2026 DeepInfra. All rights reserved.