Comprehensive side-by-side LLM comparison
o4-mini leads with 20.1% higher average benchmark score. o4-mini offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $4.13 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
3 months newer

DeepSeek-V3
DeepSeek
2024-12-25

o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)

DeepSeek-V3

o4-mini
Context window and performance specifications
Average performance across 5 common benchmarks

DeepSeek-V3

o4-mini
Performance comparison across key benchmark categories

DeepSeek-V3

o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

o4-mini

DeepSeek-V3

o4-mini

DeepSeek-V3

o4-mini
OpenAI