Skip to content

Stability AI Stable Diffusion 3.5

Last updated: 41m ago

by Stability AI

High confidence

Latest Stable Diffusion model with improved quality and consistency.

11
Overall Score
Rank #10 of 18 in Image Generation
Top 56% · Methodology v3
Score Trend
14-day history
API Pricing
N/A
Context Window
N/A
0
Released 2024-10-22
#10±1 ranksTop 56%
#1#18

Signal Overview

Capabilities14Pricing5Context0Recency13Output20

Score Breakdown

SignalStrengthWeightImpact
Capabilitiesjust now
14
30%+4.3
Output Capacityjust now
20
15%+3.0
Recencyjust now
13
15%+2.0
Pricingjust now
5
25%+1.3
Context Windowjust now
0
15%+0.0

Capabilities

Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output

Modalities

Input
text
image
Output
image

Recent Stability AI releases

View this model against the provider’s recent shipping cadence.

Reviews

Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.

Reviews

Be the first to review this model

Share your experience with Stable Diffusion 3.5 and help the community make better decisions.

Frequently Asked Questions

Stable Diffusion 3.5 by Stability AI excels in the Image Generation category, where it ranks #10 with a composite score of 11/100. Latest Stable Diffusion model with improved quality and consistency. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable image generation solution.
Stable Diffusion 3.5 is priced at $0.00 per million input tokens and $0.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the image generation category and reflects the model's quality-to-cost ratio.
In the Image Generation category, Stable Diffusion 3.5 holds rank #10 out of 18 models tracked. Its quality rank is #10 and adoption rank is #10. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
Stable Diffusion 3.5 has been evaluated across 5 different signals. Its strongest areas include Capabilities (14/100), Pricing (5/100), Context Window (0/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 11/100 reflects a weighted combination of all tracked signals.
Stable Diffusion 3.5 is available as a free, open-source model. You can run it locally or use it through various hosting providers. Some API providers may charge for hosted inference, so check individual provider pricing.
Stable Diffusion 3.5 supports image generation. These capabilities determine which workflows and integrations the model can handle natively.
Yes, Stable Diffusion 3.5 is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.
Stable Diffusion 3.5 was developed by Stability AI. It was released on October 22, 2024. You can access it through Stability AI's API or download the model weights directly. Check our provider page for all models from Stability AI and how they compare against each other.
Pick Stable Diffusion 3.5 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access Stable Diffusion 3.5 through Stability AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. For production use, implement proper error handling, rate limiting, and cost monitoring.

Key Info

ProviderStability AI
LicenseOpen Source
Statusstable
Data updated: Aug 9, 2026

Pricing Tools

Access & Availability

Hosted APIAvailable
PlaygroundAvailable
Open weightsYes
Hugging FaceWeights

Pricing

Free

Why This Rank

-Capabilities
-Output Capacity
-Recency
-Pricing

Similar Models

View all