+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Minimax M 2.5 vs o4 mini
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
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Minimax M 2.5
Input:$0.30
Output:$1.20($4.00 cheaper)
+
+
+
+
o4 mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Minimax M 2.5
1 providers
MiniMax
+
+
+
+
o4 mini
1 providers
+
+
+
+
Minimax M 2.5
Avg Score:0.0%
Providers:1
+
+
+
+
o4 mini
Avg Score:0.0%
Providers:1