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Jamba 1.5 Large vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 2.0% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
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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 Large
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 Large
Average Score:70.3%(+2.0%)
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Mistral Small 3 24B Base
Average Score:68.3%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
Jamba 1.5 Large
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 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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Mistral Small 3 24B Base
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Jamba 1.5 Large
Avg Score:70.3%(+2.0%)
Providers:2
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Mistral Small 3 24B Base
Avg Score:68.3%
Providers:0