| Signal | FLUX.1 Pro | Delta | Recraft V3 |
|---|---|---|---|
Capabilities | 17 | -- | |
Pricing | 5 | -- | |
Context window size | 0 | -- | |
Recency | 17 | -11 | |
Output Capacity | 20 | -- | |
| Overall Result | 0 wins | of 5 | 1 wins |
Score History
13.2
current score
Recraft V3
right now
16
current score
Black Forest Labs
Recraft
| Metric | FLUX.1 Pro | Recraft V3 | Winner |
|---|---|---|---|
| Overall Score | 13 | 16 | Recraft V3 |
| Rank | #10 | #8 | Recraft V3 |
| Quality Rank | #10 | #8 | Recraft V3 |
| Adoption Rank | #10 | #8 | Recraft V3 |
| Parameters | -- | -- | -- |
| Context Window | -- | -- | -- |
| Pricing | Free | Free | -- |
| Signal Scores | |||
| Capabilities | 17 | 17 | FLUX.1 Pro |
| Pricing | 5 | 5 | FLUX.1 Pro |
| Context window size | 0 | 0 | FLUX.1 Pro |
| Recency | 17 | 29 | Recraft V3 |
| Output Capacity | 20 | 20 | FLUX.1 Pro |
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 13/100 (rank #10), placing it in the top 97% of all 290 models tracked.
Scores 16/100 (rank #8), placing it in the top 98% of all 290 models tracked.
With only a 3-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (0K 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 (16/100) correlates with better nuance, coherence, and style in long-form content
FLUX.1 Pro and Recraft V3 are extremely close in overall performance (only 2.8000000000000007 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
FLUX.1 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
FLUX.1 Pro
0% 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
| Capability | FLUX.1 Pro | Recraft V3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Black Forest Labs
Recraft
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | FLUX.1 Pro | Recraft V3 |
|---|---|---|
| Context Window | -- | -- |
| Max Output Tokens | -- | -- |
| Open Source | No | No |
| Created | Aug 1, 2024 | Oct 1, 2024 |
The image generation category appears highly competitive with tight score clustering - Recraft V3's 16/100 score places it at rank #9 while FLUX.1 Pro's 13/100 lands at #13. This suggests even marginal performance improvements translate to significant rank differences in this 14-model category, where the bottom half likely has minimal score separation.
For high-volume applications, Recraft V3's $10,000 per million images saved represents substantial cost efficiency while delivering better performance (16/100 vs 13/100 score). The 3-point performance advantage combined with 1.3x lower pricing makes FLUX.1 Pro difficult to justify unless specific aesthetic preferences or existing pipeline integrations demand it.
With identical text-to-image modalities and no context window differentiation, the 23% performance gap (16 vs 13 score) likely stems from underlying model architecture quality, training data curation, or inference optimization. Recraft V3's superior ranking suggests better prompt adherence or image quality despite both models sharing the same functional constraints.
FLUX.1 Pro's near-bottom ranking (13/14) with a 13/100 score indicates it's among the weakest performers in the category, sitting just above the last-place model. Combined with its $50,000/M output pricing - 25% higher than Recraft V3 - this positions FLUX.1 Pro as both expensive and underperforming relative to alternatives.
The migration case is compelling: Recraft V3 offers 23% better performance (16 vs 13 score), 25% cost reduction ($40,000 vs $50,000 per million outputs), and moves you from a #13 ranked model to #9. Since both have identical capabilities and 0-token context windows, the primary migration friction is API integration changes rather than functional limitations.