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Jamba 1.5 Mini vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 7.1% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Jamba 1.5 Mini is available on 2 providers. Overall, Mistral Small 3 24B Base is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
5 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Jamba 1.5 Mini
Average Score:61.2%
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Mistral Small 3 24B Base
Average Score:68.3%(+7.1%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Jamba 1.5 Mini
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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Mistral Small 3 24B Base
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Jamba 1.5 Mini
Avg Score:61.2%
Providers:2
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Mistral Small 3 24B Base
Avg Score:68.3%(+7.1%)
Providers:0