FLUX.1 Pro vs GPT-5 Image Mini
| Signal | FLUX.1 Pro | Delta | GPT-5 Image Mini |
|---|---|---|---|
Capabilities | 14 | -71 | |
Pricing | 5 | -93 | |
Context window size | 0 | -100 | |
Recency | 0 | -79 | |
Output Capacity | 20 | -80 | |
Benchmarks | 0 | -88 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
8
current score
GPT-5 Image Mini
right now
88.5
current score
FLUX.1 Pro
Black Forest Labs
GPT-5 Image Mini
OpenAI
FLUX.1 Pro saves you $350.00/month
That's $4200.00/year compared to GPT-5 Image Mini at your current usage level of 100K calls/month.
| Metric | FLUX.1 Pro | GPT-5 Image Mini | Winner |
|---|---|---|---|
| Overall Score | 8 | 89 | GPT-5 Image Mini |
| Rank | #13 | #2 | GPT-5 Image Mini |
| Quality Rank | #13 | #2 | GPT-5 Image Mini |
| Adoption Rank | #13 | #2 | GPT-5 Image Mini |
| Parameters | -- | -- | -- |
| Context Window | -- | 400K | -- |
| Pricing | Free | $2.50/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 14 | 86 | GPT-5 Image Mini |
| Pricing | 5 | 98 | GPT-5 Image Mini |
| Context window size | 0 | 100 | GPT-5 Image Mini |
| Recency | 0 | 79 | GPT-5 Image Mini |
| Output Capacity | 20 | 100 | GPT-5 Image Mini |
| Benchmarks | -- | 88 | GPT-5 Image Mini |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 8/100 (rank #13), placing it in the top 96% of all 290 models tracked.
Scores 89/100 (rank #2), placing it in the top 100% of all 290 models tracked.
GPT-5 Image Mini has a 81-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose FLUX.1 Pro when you need:
- High-volume production workloads where API costs must be minimized
Choose GPT-5 Image Mini when you need:
- Processing long documents or large codebases (400K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Compare the cost per quality point to find the best value for your specific workload.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. FLUX.1 Pro also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5 Image Mini clearly outperforms FLUX.1 Pro with a significant 80.5-point lead. For most general use cases, GPT-5 Image Mini is the stronger choice. However, FLUX.1 Pro may still excel in niche scenarios.
By Use Case
Best for Quality
FLUX.1 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
FLUX.1 Pro
100% lower pricing; better value at scale
Best for Reliability
FLUX.1 Pro
Higher uptime and faster response speeds
Best for Prototyping
FLUX.1 Pro
Stronger community support and better developer experience
Best for Production
FLUX.1 Pro
Wider enterprise adoption and proven at scale
by Black Forest Labs
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 100% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | FLUX.1 Pro | GPT-5 Image Mini |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streamingdiffers | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
FLUX.1 Pro
Black Forest Labs
GPT-5 Image Mini
OpenAI
FLUX.1 Pro saves you $6.90/month
That's 100% cheaper than GPT-5 Image Mini at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | FLUX.1 Pro | GPT-5 Image Mini |
|---|---|---|
| Context Window | -- | 400K |
| Max Output Tokens | -- | 128,000 |
| Open Source | No | No |
| Created | Aug 1, 2024 | Oct 16, 2025 |
GPT-5 Image Mini's $2,000/M output pricing reflects its multimodal capabilities beyond pure image generation - it handles 400K token contexts, supports vision input, and includes function calling, reasoning, and web search. FLUX.1 Pro at $50,000/M outputs is a specialized text-to-image model with zero context window and no additional capabilities, placing it at rank #13 of 14 with a score of 13/100 versus GPT-5's perfect 100/100.
At 100K generations, FLUX.1 Pro costs $5,000 while GPT-5 Image Mini costs just $200 - but GPT-5's multimodal nature changes the value equation entirely. With its 128K max output tokens and vision capabilities, GPT-5 can analyze uploaded images, modify them based on text descriptions, and chain multiple operations through function calling, while FLUX.1 Pro only converts text prompts to images with no ability to iterate or understand existing visuals.
FLUX.1 Pro is a dedicated diffusion model optimized solely for text-to-image generation with 0 tokens of context, while GPT-5 Image Mini leverages OpenAI's transformer architecture to handle text, images, and files across 400K tokens of context. This fundamental difference enables GPT-5's six additional capabilities (vision, function calling, streaming, JSON mode, reasoning, web search) that FLUX.1 Pro lacks, justifying its #1 ranking despite being 25,000x cheaper per output.
FLUX.1 Pro's $50,000/M pricing only makes sense for teams requiring specific artistic styles or generation techniques that Black Forest Labs' diffusion architecture produces better than GPT-5's approach. However, with GPT-5 costing 25,000x less at $2/M outputs while scoring 87 points higher (100 vs 13), the use cases are extremely narrow - perhaps specialized creative workflows where FLUX.1's particular aesthetic is worth the premium despite lacking vision input, streaming, or any form of reasoning.
FLUX.1 Pro charges $0 for inputs because it only accepts text prompts for image generation, while GPT-5 Image Mini's $2.50/M input pricing supports its multimodal processing of text, images, and files across 400K token contexts. This pricing difference highlights that FLUX.1 Pro is built for simple prompt-to-image workflows, whereas GPT-5's 128K max output combined with vision and reasoning capabilities positions it for complex iterative tasks like analyzing and modifying existing images or generating image series with consistent elements.