DeepSeek logo

R1

by DeepSeek · Released Jan 2025

Open Source
45.3
avg score
Rank #180
Compare
Better than 45% of all models
Context
64K tokens (~32 books)
Input $/1M
$0.70
Output $/1M
$2.50
Type
text
License
Open Source
Benchmarks
15 tested
Data as of
About

DeepSeek R1 is here: 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....

Tested on 15 benchmarks · BenchGecko score 45.3. Top scores: Chatbot Arena Elo · Overall (1398.1%), MATH level 5 (93.0%), Lech Mazur Writing (83.0%).

Looking for similar performance at lower cost?
gpt-oss-20b scores 45.0 (99% as good) at $0.03/1M input · 96% cheaper
Capabilities
coding
46.7
#111 globally
reasoning
11.4
#184 globally
math
73.2
#47 globally
knowledge
52.0
#121 globally
general
51.9
#34 globally
Benchmark Scores
Compare All
Tested on 15 benchmarks · Ranked across 6 categories
Score Distribution (all 326 models)
0255075100
▲ You are here
Aider polyglot

Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.

56.9·
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

36.5·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

17.1·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

15.8·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

1.3·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

93.0·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

53.3·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
deepseek-r1
Specifications
  • Typetext
  • Context64K tokens (~32 books)
  • ReleasedJan 2025
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.004
Available On
DeepSeek logoDeepSeek$0.70
Share & Export
Tweet
R1 is an open-source text AI model by DeepSeek, released in January 2025. It has an average benchmark score of 45.3. Context window: 64K tokens.

Key facts · as of 2026-10-19

  • R1 by DeepSeek. BenchGecko score 45.3, rank 179 of 326 scored models (normalized average of public benchmark scores).
  • List price $0.70 input · $2.50 output per 1M tokens (as of 2026-10-19).

How to cite · data as of 2026-10-19

R1 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-19. https://benchgecko.ai/model/deepseek-r1

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP