R1 0528 pricing & benchmarks
Released May 28, 2025 · served by 4 providers
What R1 0528 is
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
- Model ID:
deepseek/deepseek-r1-0528 - Modality: text->text
- Knowledge cutoff: 2025-03-31
- Tool calling: supported · Structured output: supported
- Weights:
deepseek-ai/DeepSeek-R1-0528on Hugging Face
Providers and prices for R1 0528
The same model costs different amounts depending on who serves it. Prices are per 1M tokens, cheapest first. Uptime and throughput are OpenRouter's rolling measurements, not vendor claims.
| Provider | Input | Output | Context | Quant | Uptime 24h | Throughput |
|---|---|---|---|---|---|---|
| DeepInfracheapest | $0.500 | $2.15 | 164K | fp4 | 99.9% | — |
| SiliconFlow | $0.500 | $2.18 | 164K | fp8 | 97.9% | — |
| StreamLake | $0.571 | $2.29 | 128K | — | 99.6% | — |
| Novita | $0.700 | $2.50 | 164K | fp8 | 99.9% | — |
R1 0528 benchmark results
Design Arena head-to-head results, as reported through the OpenRouter model API.
| Category | Arena | Rank | Elo | Win rate |
|---|---|---|---|---|
| dataviz | models | #44 | 1208 | 60.7% |
| svg | models | #54 | 1088 | 48.7% |
| 3d | models | #58 | 1169 | 53.4% |
| website | models | #64 | 1174 | 52.7% |
| codecategories | models | #65 | 1169 | 52.6% |
| gamedev | models | #65 | 1154 | 49.5% |
| uicomponent | models | #66 | 1141 | 55.1% |
FAQ
How much does the R1 0528 API cost?
$0.500 per 1M input tokens and $2.15 per 1M output tokens. A typical workload of 1M input + 300K output tokens costs about $1.15.
Is R1 0528 free?
No. It is a paid model starting at $0.500 per 1M input tokens, though some providers offer trial credits.
Which provider is cheapest for R1 0528?
DeepInfra at $0.500 input / $2.15 output per 1M tokens (fp4 quantization).
Can I self-host R1 0528?
Yes — weights are published as deepseek-ai/DeepSeek-R1-0528 on Hugging Face, so you can run it on your own hardware.