Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 15.1% higher average benchmark score. DeepSeek-V3.1 offers 27.7K more tokens in context window than o1. DeepSeek-V3.1 is $73.73 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
24 days newer

o1
OpenAI
2024-12-17

DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)

DeepSeek-V3.1

o1
Context window and performance specifications
Average performance across 4 common benchmarks

DeepSeek-V3.1

o1
Performance comparison across key benchmark categories

DeepSeek-V3.1

o1
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

o1

DeepSeek-V3.1

o1

DeepSeek-V3.1

o1
Azure
OpenAI