Stable Diffusion 3.5 Large vs Stable Diffusion 3.5 Medium
At a Glance
| Compare |  Stable Diffusion 3.5 LargeStability AI | Stable Diffusion 3.5 MediumStability AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 0K | 0K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | stable-diffusion-3.5-large | stable-diffusion-3.5-medium |
|---|---|---|
| Developer | Stability AI | Stability AI |
| Family | Stable Diffusion 3 5 Large | Stable Diffusion 3 5 Medium |
| Model | stable-diffusion-3.5-large | stable-diffusion-3.5-medium |
| Version | stable-diffusion-3.5-large | stable-diffusion-3.5-medium |
| Lifecycle | active | active |
| Released | 2024-10-22 | 2024-10-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Image | Image |
| Context window | 0K | 0K |
| Total parameters | 8.1B | 2.5B |
| Active parameters | Unknown | Unknown |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Stability AI (Pay as you go) | Hugging Face (Standard), Stability AI (Pay as you go) |
| Capabilities | generation | generation |
Stable Diffusion 3.5 Large Capabilities
Stable Diffusion 3.5 Medium Capabilities
Primary Evidence
Sources and Freshness
Questions
Stable Diffusion 3.5 Large vs Stable Diffusion 3.5 Medium FAQs
Is Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Stable Diffusion 3.5 Large and Stable Diffusion 3.5 Medium, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium?+
Both models have the same sourced context window: 256 tokens each.
Which performs better in benchmarks, Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium be self-hosted?+
Both models have the same sourced self-hosting status: supported. Stable Diffusion 3.5 Large is open weight; Stable Diffusion 3.5 Medium is open weight.
Can Stable Diffusion 3.5 Large and Stable Diffusion 3.5 Medium understand images?+
Stable Diffusion 3.5 Large is not documented with image input; Stable Diffusion 3.5 Medium is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Stable Diffusion 3.5 Large and Stable Diffusion 3.5 Medium support reasoning and tool use?+
Stable Diffusion 3.5 Large: none of these features are definitively sourced. Stable Diffusion 3.5 Medium: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium?+
Stable Diffusion 3.5 Large has 2 sourced provider routes; Stable Diffusion 3.5 Medium has 2, a tie.
Which offers better value, Stable Diffusion 3.5 Large or Stable Diffusion 3.5 Medium?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.