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Mistral Small vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base offers 190.5K more tokens in context window than Mistral Small. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.
6 months newer
Mistral Small
Mistral AI
2024-09-17
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Pricing Comparison
Cost per million tokens (USD)
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Mistral Small
Input:$0.20
Output:$0.60
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Mistral Small
Average Score:0.0%
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Mistral Small 3.1 24B Base
Average Score:62.9%(+62.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral Small 3.1 24B Base
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Mistral Small
Avg Score:0.0%
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:62.9%(+62.9%)
Providers:1