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DeepSeek-R1 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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DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
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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.
1 month newer
DeepSeek-R1
DeepSeek
2025-01-20
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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Mistral Small 3.1 24B Instruct
0 providers
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DeepSeek-R1
Avg Score:0.0%
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:0.0%
Providers:0