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DeepSeek-R1-0528 vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 17.6% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-R1-0528
Average Score:43.7%(+17.6%)
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Mistral Small 3.1 24B Instruct
Average Score:26.2%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:43.7%(+17.6%)
Providers:3
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Mistral Small 3.1 24B Instruct
Avg Score:26.2%
Providers:0