Comprehensive side-by-side LLM comparison
o4 mini offers 99.3K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $4.20 cheaper per million tokens. o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
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.
8 months newer

o4 mini
OpenAI
2025-04-16
MiniMax M2.1
MiniMax
2025-12-23
Cost per million tokens (USD)
MiniMax M2.1
o4 mini
Context window and performance specifications
Available providers and their performance metrics
MiniMax M2.1
MiniMax
o4 mini
MiniMax M2.1
o4 mini
MiniMax M2.1
o4 mini
OpenAI