DeepSeek V4 Pro Base vs Stable Diffusion 3.5 Medium
At a Glance
| Compare | DeepSeek V4 Pro BaseDeepSeek | Stable Diffusion 3.5 MediumStability AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,049K | 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 | DeepSeek-V4-Pro-Base | stable-diffusion-3.5-medium |
|---|---|---|
| Developer | DeepSeek | Stability AI |
| Family | Deepseek V4 Pro Base | Stable Diffusion 3 5 Medium |
| Model | DeepSeek-V4-Pro-Base | stable-diffusion-3.5-medium |
| Version | DeepSeek-V4-Pro-Base | stable-diffusion-3.5-medium |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2024-10-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Image |
| Context window | 1,049K | 0K |
| Total parameters | 1.6T | 2.5B |
| Active parameters | Unknown | Unknown |
| License | Unknown | other |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), Stability AI (Pay as you go) |
| Capabilities | generation | generation |
DeepSeek V4 Pro Base Capabilities
Stable Diffusion 3.5 Medium Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro Base vs Stable Diffusion 3.5 Medium FAQs
Is DeepSeek V4 Pro Base or Stable Diffusion 3.5 Medium better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base 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, DeepSeek V4 Pro Base 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, DeepSeek V4 Pro Base or Stable Diffusion 3.5 Medium?+
DeepSeek V4 Pro Base has the larger sourced context window. DeepSeek V4 Pro Base supports 1,049K and Stable Diffusion 3.5 Medium supports 0K.
Which performs better in benchmarks, DeepSeek V4 Pro Base 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 DeepSeek V4 Pro Base or Stable Diffusion 3.5 Medium be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro Base is open weight; Stable Diffusion 3.5 Medium is open weight.
Can DeepSeek V4 Pro Base and Stable Diffusion 3.5 Medium understand images?+
DeepSeek V4 Pro Base 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, DeepSeek V4 Pro Base or Stable Diffusion 3.5 Medium?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro Base is — and Stable Diffusion 3.5 Medium is —.
Do DeepSeek V4 Pro Base and Stable Diffusion 3.5 Medium support reasoning and tool use?+
DeepSeek V4 Pro Base: 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, DeepSeek V4 Pro Base or Stable Diffusion 3.5 Medium?+
DeepSeek V4 Pro Base has 0 sourced provider routes; Stable Diffusion 3.5 Medium has 2, so Stable Diffusion 3.5 Medium has broader tracked availability.
Which offers better value, DeepSeek V4 Pro Base 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.