Stable Audio 3 Medium vs Stable Diffusion 3.5 Medium
At a Glance
| Compare | Stable Audio 3 MediumStability AI | Stable Diffusion 3.5 MediumStability AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | 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-audio-3-medium | stable-diffusion-3.5-medium |
|---|---|---|
| Developer | Stability AI | Stability AI |
| Family | Stable Audio 3 Medium | Stable Diffusion 3 5 Medium |
| Model | stable-audio-3-medium | stable-diffusion-3.5-medium |
| Version | stable-audio-3-medium | stable-diffusion-3.5-medium |
| Lifecycle | active | active |
| Released | 2026-05-20 | 2024-10-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Audio | Image |
| Context window | Unknown | 0K |
| Total parameters | 2.3B | 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) | Hugging Face (Standard), Stability AI (Pay as you go) |
| Capabilities | generation | generation |
Stable Audio 3 Medium Capabilities
Stable Diffusion 3.5 Medium Capabilities
Primary Evidence
Sources and Freshness
Questions
Stable Audio 3 Medium vs Stable Diffusion 3.5 Medium FAQs
Is Stable Audio 3 Medium or Stable Diffusion 3.5 Medium better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Stable Audio 3 Medium 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 Audio 3 Medium 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 Audio 3 Medium or Stable Diffusion 3.5 Medium?+
Neither model has a larger sourced context window in this comparison. Stable Audio 3 Medium is — and Stable Diffusion 3.5 Medium is 0K.
Which performs better in benchmarks, Stable Audio 3 Medium 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 Audio 3 Medium or Stable Diffusion 3.5 Medium be self-hosted?+
Both models have the same recorded self-hosting status: supported. Stable Audio 3 Medium is open weight; Stable Diffusion 3.5 Medium is open weight.
Can Stable Audio 3 Medium and Stable Diffusion 3.5 Medium understand images?+
Stable Audio 3 Medium 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 Audio 3 Medium or Stable Diffusion 3.5 Medium?+
Neither has a larger sourced maximum output. Stable Audio 3 Medium is — and Stable Diffusion 3.5 Medium is —.
Do Stable Audio 3 Medium and Stable Diffusion 3.5 Medium support reasoning and tool use?+
Stable Audio 3 Medium: 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 Audio 3 Medium or Stable Diffusion 3.5 Medium?+
Stable Audio 3 Medium has 1 sourced provider route; Stable Diffusion 3.5 Medium has 2, so Stable Diffusion 3.5 Medium has broader tracked availability.
Which offers better value, Stable Audio 3 Medium 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.