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Minimax M 2.5 vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Instruct 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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Mistral AI
Mistral Small 3.1 is a 24-billion-parameter multimodal model from Mistral AI, released in March 2025 as an update to Mistral Small 3 that added vision understanding and expanded the context window from 32K to 128K tokens. The model accepts both text and image inputs, broadening its applicability to document analysis, image-grounded reasoning, and mixed-media workflows without requiring an increase in parameter count. Released under Apache 2.0, it continued Mistral's pattern of incremental capability gains delivered in compact, practically deployable open-weight packages.
11 months newer
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Minimax M 2.5
MiniMax
2026-02-13
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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Mistral Small 3.1 24B Instruct
0 providers
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Minimax M 2.5
Avg Score:0.0%
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:0.0%
Providers:0