R1 0528
VerifiedDeepSeek's open LLM handles extensive text with a 163k-token context.
About R1 0528
R1 0528 is released as an open-weight model, allowing full access to its parameters for customization. DeepSeek designed it as a text-only LLM with a context window reaching 163840 tokens. This architecture supports uninterrupted handling of lengthy documents and multi-turn conversations.
Its open-weight availability promotes transparency and community-driven improvements. The model excels at maintaining coherence across large inputs without external retrieval systems. Researchers benefit from its flexibility in experimenting with long-context techniques.
Developers commonly use R1 0528 for document summarization, code analysis, and extended reasoning workflows. It integrates into local or cloud environments where full model control is required. Academic and commercial teams apply it to build specialized text-processing pipelines.
Capabilities
How R1 0528 compares
R1 0528 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · R1 0528 ranks #74 of 95
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Reasoning
The model handles extended inputs of 163840 tokens for tasks like analyzing full research papers or code repositories while maintaining logical coherence.
Mathematical Problem Solving
It delivers step-by-step solutions to advanced math problems using structured logical reasoning.
Code Generation and Debugging
Developers can rely on it to write, debug, and refine code across languages while following precise instructions.
Strengths & limitations
Strengths
- +Strong reasoning depth
- +Effective use of large context
- +Competitive technical performance
- +Efficient inference characteristics
Limitations
- –Text-only modality
- –Can be verbose on simple queries
- –Reasoning may overcomplicate tasks
Cost calculator
Estimate what R1 0528 would cost for your usage.
Based on R1 0528's $0.50/1M input · $2.15/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "deepseek/deepseek-r1-0528",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: deepseek/deepseek-r1-0528
Editor's verdict
R1 0528 is DeepSeek's open-weight language models with a 164K-token context window.
At $2.15 per 1M output tokens, it is mid-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong reasoning depth and effective use of large context.
Frequently asked questions
The model supports a context window of 163840 tokens.
User reviews
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