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 is the flagship image generation model from Black Forest Labs, founded by the original team behind Stable Diffusion. It produces high-quality images with excellent prompt adherence and fast generation times. The model competes directly with Midjourney and DALL-E 3 on image quality while offering more flexible API-based access. Black Forest Labs' deep expertise in diffusion models, gained through years of pioneering work on Stable Diffusion, gives Flux a strong technical foundation and rapid iteration cycle.
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: March 2026 · Data sourced from public benchmarks and official pricing pages