Adobe Firefly 3 vs Stable Diffusion 3.5
| Signal | Adobe Firefly 3 | Delta | Stable Diffusion 3.5 |
|---|---|---|---|
Capabilities | 14 | -- | |
Pricing | 100 | +95 | |
Context window size | 0 | -- | |
Recency | 0 | -13 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
Score History
8
current score
Stable Diffusion 3.5
right now
11.4
current score
Adobe Firefly 3
Adobe
Stable Diffusion 3.5
Stability AI
| Metric | Adobe Firefly 3 | Stable Diffusion 3.5 | Winner |
|---|---|---|---|
| Overall Score | 8 | 11 | Stable Diffusion 3.5 |
| Rank | #17 | #10 | Stable Diffusion 3.5 |
| Quality Rank | #17 | #10 | Stable Diffusion 3.5 |
| Adoption Rank | #17 | #10 | Stable Diffusion 3.5 |
| Parameters | -- | -- | -- |
| Context Window | -- | -- | -- |
| Pricing | Free | Free | -- |
| Signal Scores | |||
| Capabilities | 14 | 14 | Adobe Firefly 3 |
| Pricing | 100 | 5 | Adobe Firefly 3 |
| Context window size | 0 | 0 | Adobe Firefly 3 |
| Recency | 0 | 14 | Stable Diffusion 3.5 |
| Output Capacity | 20 | 20 | Adobe Firefly 3 |
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 #17), placing it in the top 94% of all 290 models tracked.
Scores 11/100 (rank #10), placing it in the top 97% 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.
Choose Adobe Firefly 3 when you need:
- Budget-friendly applications with moderate quality requirements
Choose Stable Diffusion 3.5 when you need:
- Self-hosted deployments where you need full control over the model
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. Adobe Firefly 3 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 (11/100) correlates with better nuance, coherence, and style in long-form content
Stable Diffusion 3.5 has a moderate advantage with a 3.4000000000000004-point lead in composite score. It wins on more signal dimensions, but Adobe Firefly 3 has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Adobe Firefly 3
Marginally better benchmark scores; both are excellent
Best for Cost
Adobe Firefly 3
0% lower pricing; better value at scale
Best for Reliability
Adobe Firefly 3
Higher uptime and faster response speeds
Best for Prototyping
Adobe Firefly 3
Stronger community support and better developer experience
Best for Production
Adobe Firefly 3
Wider enterprise adoption and proven at scale
by Adobe
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 0% 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 | Adobe Firefly 3 | Stable Diffusion 3.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Adobe Firefly 3
Adobe
Stable Diffusion 3.5
Stability AI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Adobe Firefly 3 | Stable Diffusion 3.5 |
|---|---|---|
| Context Window | -- | -- |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | Apr 1, 2024 | Oct 22, 2024 |
Adobe Firefly 3 operates on a credit-based system bundled with Creative Cloud subscriptions rather than per-output pricing, making the $0 figure misleading for direct comparisons. Stable Diffusion 3.5's $35,000/M output cost reflects API-based pricing, but its open-source nature means you can run it locally for free, while Firefly 3 requires ongoing Adobe subscription fees regardless of usage volume.
The tight clustering around scores 16-17 in the image generation category suggests minimal practical performance differences, with the 5-position ranking gap likely reflecting pricing model preferences rather than quality. Both models rank in the bottom half of 14 image generators, indicating they prioritize accessibility and integration over cutting-edge performance, with Stable Diffusion 3.5's open-source advantage offsetting its marginally better score.
At Stable Diffusion 3.5's $35,000/M rate ($0.035/image), generating just 286 images monthly would exceed a $10 Creative Cloud Photography plan that includes Firefly credits. However, teams generating over 10,000 images monthly should leverage Stable Diffusion 3.5's open-source nature for self-hosting, eliminating the $350+ monthly API costs entirely while gaining full control over model deployment.
Stable Diffusion 3.5's 1-point score advantage (17 vs 16) likely stems from its Multimodal Diffusion Transformer (MMDiT) architecture with separate text encoders, while Adobe Firefly 3 prioritizes training on licensed content for commercial safety over benchmark performance. The 0-token context window for both indicates they process prompts as single inputs rather than maintaining conversation state, making prompt engineering equally critical for both models.
Self-hosting Stable Diffusion 3.5 on a single A100 GPU (~$2,000/month) beats both Firefly 3's enterprise pricing and SD3.5's $3,500 monthly API cost for 100K images, while providing sub-10 second generation times. Firefly 3's infrastructure is Adobe-managed but locks you into their ecosystem with no local deployment option, making it unsuitable for air-gapped environments or latency-sensitive applications despite the convenience.