FLUX.1 Pro vs GPT-5.4 Image 2
| Signal | FLUX.1 Pro | Delta | GPT-5.4 Image 2 |
|---|---|---|---|
Capabilities | 14 | -71 | |
Pricing | 5 | -80 | |
Context window size | 0 | -97 | |
Recency | 0 | -100 | |
Output Capacity | 20 | -80 | |
Benchmarks | 0 | -90 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
8
current score
GPT-5.4 Image 2
right now
91.3
current score
FLUX.1 Pro
Black Forest Labs
GPT-5.4 Image 2
OpenAI
FLUX.1 Pro saves you $1550.00/month
That's $18600.00/year compared to GPT-5.4 Image 2 at your current usage level of 100K calls/month.
| Metric | FLUX.1 Pro | GPT-5.4 Image 2 | Winner |
|---|---|---|---|
| Overall Score | 8 | 91 | GPT-5.4 Image 2 |
| Rank | #13 | #1 | GPT-5.4 Image 2 |
| Quality Rank | #13 | #1 | GPT-5.4 Image 2 |
| Adoption Rank | #13 | #1 | GPT-5.4 Image 2 |
| Parameters | -- | -- | -- |
| Context Window | -- | 272K | -- |
| Pricing | Free | $8.00/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 14 | 86 | GPT-5.4 Image 2 |
| Pricing | 5 | 85 | GPT-5.4 Image 2 |
| Context window size | 0 | 97 | GPT-5.4 Image 2 |
| Recency | 0 | 100 | GPT-5.4 Image 2 |
| Output Capacity | 20 | 100 | GPT-5.4 Image 2 |
| Benchmarks | -- | 90 | GPT-5.4 Image 2 |
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 91/100 (rank #1), placing it in the top 100% of all 290 models tracked.
GPT-5.4 Image 2 has a 83-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-5.4 Image 2 when you need:
- Processing long documents or large codebases (272K 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 (272K 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 (91/100) 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-5.4 Image 2 clearly outperforms FLUX.1 Pro with a significant 83.3-point lead. For most general use cases, GPT-5.4 Image 2 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-5.4 Image 2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streamingdiffers | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
FLUX.1 Pro
Black Forest Labs
GPT-5.4 Image 2
OpenAI
FLUX.1 Pro saves you $32.40/month
That's 100% cheaper than GPT-5.4 Image 2 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-5.4 Image 2 |
|---|---|---|
| Context Window | -- | 272K |
| Max Output Tokens | -- | 128,000 |
| Open Source | No | No |
| Created | Aug 1, 2024 | Apr 21, 2026 |
This appears to be FLUX.1 Pro's actual pricing structure, making it 3333.3x more expensive per output than GPT-5.4 Image 2. The extreme price differential combined with FLUX.1 Pro's low score of 13/100 (versus GPT-5.4's 88/100) suggests Black Forest Labs is either positioning this as an ultra-premium specialized service or employing a pricing strategy to limit usage while the model is in early stages.
The only scenario where FLUX.1 Pro might be considered is if it produces a very specific artistic style that GPT-5.4 Image 2 cannot replicate, though at $50/image (assuming 1K tokens per image) versus $0.015 for GPT-5.4, the style would need to be extraordinarily unique. FLUX.1 Pro's complete lack of additional capabilities (no vision, reasoning, or JSON mode) and zero context window makes it unsuitable for any interactive or iterative image generation workflows.
GPT-5.4 Image 2's 272K context window enables maintaining entire design systems, brand guidelines, and multi-image consistency within a single conversation, while FLUX.1 Pro treats each request in isolation. This context capability, combined with GPT-5.4's vision support, allows for iterative refinement where you can upload reference images and maintain coherent style across hundreds of generations at $15/M output tokens versus FLUX.1 Pro's stateless $50,000/M pricing.
FLUX.1 Pro's single-purpose text-to-image architecture lacks the transformer-based multimodal foundation that gives GPT-5.4 Image 2 its reasoning and web search capabilities, contributing to the rank difference (#14 vs #3 of 15 models). GPT-5.4's ability to search the web for reference images and reason about composition before generation, combined with its 128K max output tokens, enables complex multi-image outputs that FLUX.1 Pro's zero-output-token specification cannot match.
Assuming 1K tokens per image, FLUX.1 Pro would cost $500,000/month (10M tokens at $50,000/M) while GPT-5.4 Image 2 would cost $150/month (10M tokens at $15/M) - a 3,333x difference. GPT-5.4's additional capabilities like JSON mode for structured metadata output and streaming for real-time preview make it superior for production pipelines, while FLUX.1 Pro's pricing essentially disqualifies it from any volume use case.