Comprehensive side-by-side LLM comparison
o4 mini leads with 2.0% higher average benchmark score. o4 mini offers 164.0K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $4.13 cheaper per million tokens. o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
4 months newer

o4 mini
OpenAI
2025-04-16

DeepSeek-V3.1
DeepSeek
2025-08-21
Cost per million tokens (USD)
DeepSeek-V3.1
o4 mini
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.1
o4 mini
Performance comparison across key benchmark categories
DeepSeek-V3.1
o4 mini
Available providers and their performance metrics
DeepSeek-V3.1
DeepSeek
o4 mini
DeepSeek-V3.1
o4 mini
DeepSeek-V3.1
o4 mini
OpenAI