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Minimax M 2.5 vs o3 Pro
Comprehensive side-by-side LLM comparison
o3 Pro offers 95.9K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $98.50 cheaper per million tokens. o3 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
OpenAI o3-pro, released by OpenAI in June 2025, is an extended reasoning model from the o3 family that applies more compute per response to deliver deeper, more thorough answers on complex problems. It features a 200K token context window, 100K maximum output tokens, and vision capabilities. o3-pro targets research-grade reasoning tasks, extended coding sessions, and applications where accuracy on difficult problems justifies higher inference cost and latency.
8 months newer
o3 Pro
OpenAI
2025-06-10
Minimax M 2.5
MiniMax
2026-02-13
Pricing Comparison
Cost per million tokens (USD)
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Minimax M 2.5
Input:$0.30
Output:$1.20($98.50 cheaper)
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o3 Pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Minimax M 2.5
1 providers
MiniMax
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o3 Pro
1 providers
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Minimax M 2.5
Avg Score:0.0%
Providers:1
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o3 Pro
Avg Score:0.0%
Providers:1