Deepseek R1 0528
DeepSeek develops the DeepSeek R 1 0528, a chat model exceling at code generation and reasoning tasks, with notable strengths in mathematics and programming benchmarks, such as achieving a top 10% score in AIME and top 25% scores in MMLU-Pro, LiveCodeBench, and MATH-500. Its context window of 163,840 tokens allows for complex and in-depth processing of input text. The model's open-source license and significant improvements in handling complex reasoning tasks, including a reduced hallucination rate and enhanced support for function calling, make it a capable tool for various applications.
Input
Output
Context
164K
Max Output
66K
Parameters
684.5B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Benchmarks
Resources & Links
Estimated GPU requirements for Deepseek R1 0528
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Deepseek R1 0528
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Deepseek R1 0528 advertises a context window of 163,840 tokens, with a maximum output of 65,536 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Deepseek R1 0528 is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Deepseek R1 0528 accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Deepseek R1 0528 has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Deepseek R1 0528 is shown as not available rather than estimated.
Yes. Deepseek R1 0528 is served on the managed pool through the OpenAI-compatible endpoint as deepseek-ai/DeepSeek-R1-0528, pinned by name or chosen by routing when it is the best fit for a request. The Try in Playground button opens it directly.
About 659.2 GB at INT8 for the weights and a default context, from the catalog's 684.5B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 13, 2026
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