Seed 1.8 vs stable-diffusion-3.5-large
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Seed 1.8 | stable-diffusion-3.5-large |
|---|---|---|
| Developer | ByteDance Seed | Stability AI |
| Family | Seed 1 8 | Stable Diffusion 3 5 Large |
| Model | Seed 1.8 | stable-diffusion-3.5-large |
| Version | Seed 1.8 | stable-diffusion-3.5-large |
| Lifecycle | active | active |
| Released | Unknown | 2024-10-22 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Image |
| Context window | Unknown | 256 |
| Total parameters | Unknown | 8,146,280,768 |
| Active parameters | Unknown | Unknown |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Hugging Face (Standard), Stability AI (Pay as you go) |
| Capabilities | chat, generation, reasoning, tools | generation |
11 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Seed 1.8 Capabilities
stable-diffusion-3.5-large Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Seed 1.8ByteDance Seed | vs | Seed 2.1 TurboByteDance Seed | family variantsimage, text |
Seed 1.8ByteDance Seed | vs |  Gemma 4 12BGoogle Deepmind | cross-developer peersimage, text |
Seed 1.8ByteDance Seed | vs | Gemma 4 E2BGoogle Deepmind | cross-developer peersimage, text |
Seed 1.8ByteDance Seed | vs | Gemma 4 E4BGoogle Deepmind | cross-developer peersimage, text |
Seed 1.8ByteDance Seed | vs |  o3-proOpenai | cross-developer peersimage, text |
Seed 1.8ByteDance Seed | vs | cross-developer peersimage, text | |
Seed 1.8ByteDance Seed | vs | cross-developer peersimage, text | |
stable-diffusion-3.5-largeStability AI | vs | stable-diffusion-3.5-mediumStability AI | family variantsimage |
Seed 1.8ByteDance Seed | vs |  Sonar Deep ResearchPerplexity | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Seed 1.8 vs stable-diffusion-3.5-large FAQs
Is Seed 1.8 or stable-diffusion-3.5-large better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 1.8 and stable-diffusion-3.5-large, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 1.8 or stable-diffusion-3.5-large?+
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, Seed 1.8 or stable-diffusion-3.5-large?+
Neither model has a larger sourced context window in this comparison. Seed 1.8 is — and stable-diffusion-3.5-large is 256.
Which performs better in benchmarks, Seed 1.8 or stable-diffusion-3.5-large?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 1.8 or stable-diffusion-3.5-large be self-hosted?+
stable-diffusion-3.5-large is the only model in this pair currently marked as self-hostable. Seed 1.8 is not marked open weight; stable-diffusion-3.5-large is open weight.
Can Seed 1.8 and stable-diffusion-3.5-large understand images?+
Seed 1.8 is documented with image input; stable-diffusion-3.5-large is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 1.8 or stable-diffusion-3.5-large?+
Neither has a larger sourced maximum output. Seed 1.8 is — and stable-diffusion-3.5-large is —.
Do Seed 1.8 and stable-diffusion-3.5-large support reasoning and tool use?+
Seed 1.8: reasoning, tool calling, and image input. stable-diffusion-3.5-large: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 1.8 or stable-diffusion-3.5-large?+
Seed 1.8 has 0 sourced provider routes; stable-diffusion-3.5-large has 2, so stable-diffusion-3.5-large has broader tracked availability.
Which offers better value, Seed 1.8 or stable-diffusion-3.5-large?+
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.