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DeepSeek R1 0528

DeepSeek R1 0528 is a May 2025 update to the original DeepSeek R1, positioned as the strongest open-weight reasoning model in its family and described as approaching the performance tier of leading closed frontier models on reasoning benchmarks. The architecture follows a Mixture-of-Experts design with 671 billion total parameters and roughly 37 billion active per inference pass, balancing large-scale capacity with efficient routing for complex reasoning workloads. Its open-source weights are published on Hugging Face, and it exposes fully open reasoning tokens, giving downstream developers visibility into the chain-of-thought process that drives its answers.

The release focused on practical gains rather than a redesign: improved benchmark scores, enhanced front-end code generation, reduced hallucinations, and native support for JSON output and function calling. These refinements make it well suited for agent-style workflows that demand reliable tool use and structured responses, as well as for mathematics, logic, and programming tasks where the original R1 already excelled. With a 164K context window and long-form reasoning capability, R1 0528 fits production deployments where teams want frontier-style reasoning quality without relinquishing control over model weights or inference transparency.

Jiekou.AIdeepseek/deepseek-r1-0528deepseek-thinking

Quick Info

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Provider
Jiekou.AI
Model key
deepseek/deepseek-r1-0528
Release date
Jan 1, 2026
Last updated
Jan 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.70
Output token cost
$2.50

Limits

Output tokens
32,768 tokens
Context window
163,840 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about DeepSeek R1 0528

Cortecs

CoverageAnalysis

A third-party deep dive analyzes DeepSeek-R1-0528 as more than a cosmetic patch, detailing that it retains the Mixture-of-Experts architecture scaled up with 128K context (extendable via RoPE scaling) while delivering large mathematical-reasoning improvements. The post highlights the AIME 2025 jump from 70% to 87.5% as The piece contextualizes R1-0528 within DeepSeek's open-source trajectory and notes improvements relevant to vibe coding and function calling. It frames the release as a stealth incremental update that nonetheless shifts the competitive balance against closed frontier models in mathematical and multi-step reasoning wor

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Coverage

Last updated: May 12, 2026

Jiekou.AI

Coverage

The Chinese start-up DeepSeek has updated its R1 model, improving its performance in reasoning, logic, mathematics, and programming. This update, which reduces...

Jiekou.AI

CoverageBenchmark

DeepSeek’s New R1–0528: Performance Analysis and Benchmark Comparisons TL;DR: The newest DeepSeek R1 model is the most powerful among open-weight models, approaching performance of the leading …

Jiekou.AI

Coverage

The official DeepSeek API Change Log documents that as of 2026-04-24, the DeepSeek API supports DeepSeek-V4-Pro and DeepSeek-V4-Flash via both the OpenAI ChatCompletions and Anthropic interfaces, with the base URL unchanged. The model parameter should be set to `deepseek-v4-pro` or `deepseek-v4-flash` to access these n Critically, the legacy model names `deepseek-chat` and `deepseek-reasoner` are scheduled for discontinuation on 2026-07-24 — only ten days from the current date. During the transitional period, these aliases point to the non-thinking mode and thinking mode of `deepseek-v4-flash`, respectively. Because Jiekou.AI's DeepS

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