Flux 1.1 ProvsGPT-4o
Black Forest Labs vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Flux 1.1 Pro | GPT-4o |
|---|---|---|
| Provider | Black Forest Labs | |
| Arena Rank | — | #2 |
| Context Window | — | 128K |
| Input Pricing | $0.04/img/1M tokens | $2.50/1M tokens |
| Output Pricing | — | $10.00/1M tokens |
| Parameters | 12B | ~200B (est.) |
| Open Source | No | No |
| Best For | Image generation, design | General purpose, coding, analysis |
| Release Date | Oct 2, 2024 | — |
Flux 1.1 Pro
Flux 1.1 Pro, developed by Black Forest Labs, is an image generation model with 12 billion parameters built by the original team behind Stable Diffusion. The model produces high-quality images from text descriptions with excellent prompt adherence, fast generation times, and strong compositional accuracy. Founded by Robin Rombach and others who created the latent diffusion approach used in Stable Diffusion, Black Forest Labs brings deep expertise in diffusion model architecture to Flux. The model competes directly with Midjourney and DALL-E 3 on image quality while offering more flexible API-based access at approximately $0.04 per image. Flux 1.1 Pro supports various aspect ratios, styles, and use cases from photorealism to illustration. Its combination of quality, speed, and accessible API pricing has made it a popular choice for production image generation applications.
GPT-4o
GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.
View OpenAI profile →Key Differences: Flux 1.1 Pro vs GPT-4o
Flux 1.1 Pro has 12B parameters vs GPT-4o's ~200B (est.), which affects inference speed and capability.
When to use Flux 1.1 Pro
- +Budget is a concern and you need cost efficiency
- +Your use case involves image generation, design
When to use GPT-4o
- +Quality matters more than cost
- +Your use case involves general purpose, coding, analysis
The Verdict
GPT-4o wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for general purpose, coding, analysis, though Flux 1.1 Pro holds an edge in image generation, design. If cost is your primary concern, Flux 1.1 Pro offers better value.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages