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Minimax M 2.5 vs o3
Comprehensive side-by-side LLM comparison
o3 offers 95.9K more tokens in context window than Minimax M 2.5. Minimax M 2.5 is $48.50 cheaper per million tokens. o3 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, released by OpenAI in April 2025, is a large reasoning model that applies extended chain-of-thought processing to deliver improved performance on complex math, science, and coding tasks. It features a 200K token context window and native image understanding, with demonstrated strong results on mathematics and software engineering benchmarks. o3 targets demanding analytical and engineering tasks where deliberate, multi-step reasoning produces significantly better outcomes than direct generation.
10 months newer
o3
OpenAI
2025-04-16
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($48.50 cheaper)
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o3
Input:$10.00
Output:$40.00
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
1 providers
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Minimax M 2.5
Avg Score:0.0%
Providers:1
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o3
Avg Score:0.0%
Providers:1