DeepSeek

DeepSeek R1 0528 — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCEDeepSeek
Chatbot Arena ELO
1375
Output Speed
40 tok/s
Input Cost
$0.50/1M
Output Cost
$2.1/1M
Context Window
164K
Max Output
33K
Knowledge Cutoff
Mar 2025
Accepts
text

DeepSeek R1 0528 by DeepSeek demonstrates strong general intelligence, solid coding performance, outstanding mathematical reasoning, competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

Chatbot Arena ELO
137523rd of 74

Human preference ELO from blind head-to-head votes

LMSYS / HuggingFace
MMLU-Pro
84.0%10th of 66

Massive Multitask Language Understanding professional benchmark

HuggingFace Leaderboard
IFEval
88.0%12th of 25

Strict instruction following accuracy on verifiable constraints

Google Research

Coding Benchmarks

Website Arena ELO
116168th of 108

Human preference ELO for building a working web page from a brief

Design Arena (via OpenRouter)
LiveCodeBench
58.0%18th of 66

Live competitive programming benchmark

livecodebench.github.io
HumanEval+
88.0%20th of 66

Code generation correctness with extended tests

Papers
SWE-bench Verified
55.0%25th of 67

Real-world software engineering task resolution

swebench.com
Design Arena ELO
113673rd of 120

Human preference ELO for building things — websites, UI, games, charts, SVG

Design Arena (via OpenRouter)

Math Benchmarks

GSM8K
97.5%7th of 66

Grade school math word problems

Papers
MATH
96.0%5th of 66

Competition mathematics problem solving

Papers
AIME 2025
87.5%11th of 17

American Invitational Mathematics Examination — competition math

Papers

Reasoning Benchmarks

ARC-AGI
15.0%48th of 66

Abstraction and Reasoning Corpus for general intelligence

arcprize.org
GPQA Diamond
81.0%58th of 140

Graduate-level science Q&A by domain experts

Papers

Speed Benchmarks

Time to First Token
900 ms73rd of 92

Latency before first token arrives

Aggregated
Output Speed
40 tok/s85th of 94

Tokens generated per second

Aggregated

Cost Benchmarks

Cached Input Cost
$0.35118th of 136

Cost per 1M cached input tokens — the price that actually applies to a long agent conversation

OpenRouter API
Output Cost
$2.1258th of 413

Cost per 1M output tokens

OpenRouter API
Input Cost
$0.50242nd of 413

Cost per 1M input tokens

OpenRouter API

Context Benchmarks

Context Length
164K208th of 451

Maximum context window size

OpenRouter API

Available from 12 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 2 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
NanoGPT$0.4$1.7$0.2164K—
Deep Infra$0.5$2.15$0.35164KSupported
Meganova$0.5$2.15—164K—
submodel$0.5$2.15—75K—
Alibaba (China)$0.574$2.294—131K—
Cortecs$0.652$2.57$0.163164K—
TensorX$0.66$2.6$0.165164K—
Jiekou.AI$0.7$2.5—164K—
Kilo Gateway$0.7$2.5$0.35164K—
NovitaAI$0.7$2.5$0.35164K—
Hugging Face$3$5—164KSupported
Qiniu———128K—

DeepSeek R1 0528 — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

DeepSeek R1 0528 — Frequently Asked Questions

How intelligent is DeepSeek R1 0528?

DeepSeek R1 0528 scores 1375 on the Chatbot Arena ELO rating, making it a high-performing AI model. This score is based on blind head-to-head human preference voting.

How much does DeepSeek R1 0528 cost?

DeepSeek R1 0528 costs $0.50 per 1M input tokens and $2.1 per 1M output tokens. This makes it one of the more affordable models.

How fast is DeepSeek R1 0528?

DeepSeek R1 0528 generates output at 40 tokens per second, which is slower, prioritizing quality over speed compared to other models. The time to first token is 900 ms.

How good is DeepSeek R1 0528 at coding?

DeepSeek R1 0528 achieves 55.0% on SWE-bench Verified, demonstrating strong real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.

How good is DeepSeek R1 0528 at math and reasoning?

DeepSeek R1 0528 scores 96.0% on the MATH benchmark (competition-level mathematics). It also achieves 81.0% on GPQA Diamond, a graduate-level science reasoning benchmark.

What is the context window of DeepSeek R1 0528?

DeepSeek R1 0528 has a context window of 164K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created DeepSeek R1 0528?

DeepSeek R1 0528 was created by DeepSeek. It is classified as a open source model in our catalogue.

Is DeepSeek R1 0528 open source?

Yes, DeepSeek R1 0528 is an open-source model. The model weights are publicly available for download and self-hosting.