
DeepSeek: R1 0528
deepseek/deepseek-r1-0528
Model weightsMay 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.
Fully open-source model.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.571 | $2.286 | -- | 3.04s | 41 tok/s | ||
| $0.500 | $2.150 | $0.35 | 0.63s | 30 tok/s | ||
| $0.500 | $2.180 | -- | 1.67s | 23 tok/s |
- Input $0.571 / Output $2.28641 tok/s100.00% uptime
Input $0.50 / Output $2.1530 tok/s99.06% uptime- Input $0.50 / Output $2.1823 tok/s97.56% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
R1 0528 — Price history
| $0.452 | $2.15 | 31.8% | 36.8% | ||
| $0.500 | $2.18 | 51.3% | 16.7% | ||
| $0.571 | $2.29 | 0.0% | 46.6% |
- Effective in $0.452 / Effective out $2.15Token share36.8%
- Effective in $0.500 / Effective out $2.18Token share16.7%
- Effective in $0.571 / Effective out $2.29Token share46.6%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | DeepSeek R1 0528 (May '25) GPQA Diamond | 81.3% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) HLE | 15.8% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) IFBench | 39.6% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) τ²-Bench Telecom | 36.5% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) AA-LCR | 55.7% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) CritPt | 1.4% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) LiveCodeBench | 77.0% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) Terminal-Bench Hard | 15.9% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) MMLU-Pro | 84.9% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) AIME 2025 | 76.0% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) AIME | 89.3% |
| Artificial Analysis | DeepSeek R1 0528 (May '25) MATH-500 | 98.3% |
| Design Arena | DeepSeek-R1-0528 Models Arena 3D Elo | 1091 |
| Design Arena | DeepSeek-R1-0528 Models Arena Code Categories Elo | 1128 |
| Design Arena | DeepSeek-R1-0528 Models Arena Data Visualization Elo | 1179 |
| Design Arena | DeepSeek-R1-0528 Models Arena Game Development Elo | 1087 |
| Design Arena | DeepSeek-R1-0528 Models Arena SVG Elo | 1028 |
| Design Arena | DeepSeek-R1-0528 Models Arena UI Component Elo | 1093 |
| Design Arena | DeepSeek-R1-0528 Models Arena Website Elo | 1141 |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model.
R1 0528 costs $0.50/M input tokens and $2.15/M output tokens, with separate rates for Cache Read at $0.35/M tokens.
R1 0528 has a 163,840 token context window. It supports up to 32,768 completion tokens.
Yes. R1 0528 accepts tools and tool_choice for function calling on 1 of the 3 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.
R1 0528 is served by 3 providers on OpenRouter: DeepInfra, SiliconFlow, and StreamLake. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
R1 0528 was released on May 28, 2025. Its knowledge cutoff is March 31, 2025.