DeepSeek R1 vs Stable Diffusion 3.5 Large
At a Glance
| Compare |  DeepSeek R1DeepSeek |  Stable Diffusion 3.5 LargeStability AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.70Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 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-R1 | stable-diffusion-3.5-large |
|---|---|---|
| Developer | DeepSeek | Stability AI |
| Family | Deepseek R1 | Stable Diffusion 3 5 Large |
| Model | DeepSeek-R1 | stable-diffusion-3.5-large |
| Version | DeepSeek-R1 | stable-diffusion-3.5-large |
| Lifecycle | active | active |
| Released | 2025-01-20 | 2024-10-22 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Image |
| Context window | 164K | 0K |
| Total parameters | 684.5B | 8.1B |
| Active parameters | 37B | Unknown |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Hugging Face (Standard), Stability AI (Pay as you go) |
| Capabilities | chat, generation, reasoning | generation |
DeepSeek R1 Capabilities
Stable Diffusion 3.5 Large Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek R1 vs Stable Diffusion 3.5 Large FAQs
Is DeepSeek R1 or Stable Diffusion 3.5 Large better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 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, DeepSeek R1 or Stable Diffusion 3.5 Large?+
Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, DeepSeek R1 or Stable Diffusion 3.5 Large?+
DeepSeek R1 has the larger sourced context window. DeepSeek R1 supports 164K and Stable Diffusion 3.5 Large supports 0K.
Which performs better in benchmarks, DeepSeek R1 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 DeepSeek R1 or Stable Diffusion 3.5 Large be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek R1 is open weight; Stable Diffusion 3.5 Large is open weight.
Can DeepSeek R1 and Stable Diffusion 3.5 Large understand images?+
DeepSeek R1 is not 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, DeepSeek R1 or Stable Diffusion 3.5 Large?+
Neither has a larger sourced maximum output. DeepSeek R1 is 33K and Stable Diffusion 3.5 Large is —.
Do DeepSeek R1 and Stable Diffusion 3.5 Large support reasoning and tool use?+
DeepSeek R1: reasoning. 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, DeepSeek R1 or Stable Diffusion 3.5 Large?+
DeepSeek R1 has 2 sourced provider routes; Stable Diffusion 3.5 Large has 2, a tie.
Which offers better value, DeepSeek R1 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.