Comprehensive side-by-side LLM comparison
o4 mini offers 95.9K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $4.00 cheaper per million tokens. o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
MiniMax
MiniMax M2.5 is a large language model from MiniMax extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments. It targets agentic tool use, coding automation, and office productivity tasks, with strong results on software engineering and web browsing benchmarks. M2.5 represents the next generation of MiniMax's M-series models optimized for production agentic workloads.
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.
10 months newer

o4 mini
OpenAI
2025-04-16
Minimax M 2.5
MiniMax
2026-02-13
Cost per million tokens (USD)
Minimax M 2.5
o4 mini
Context window and performance specifications
Available providers and their performance metrics
Minimax M 2.5
MiniMax
o4 mini
Minimax M 2.5
o4 mini
Minimax M 2.5
o4 mini
OpenAI