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Jamba 1.5 Mini vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Ministral 8B Instruct leads with 2.1% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Ministral 8B Instruct. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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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
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
1 month newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Ministral 8B Instruct
Mistral AI
2024-10-16
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40
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Ministral 8B Instruct
Input:$0.10
Output:$0.10($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Mini
Average Score:67.2%
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Ministral 8B Instruct
Average Score:69.3%(+2.1%)
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Knowledge Cutoff
Training data recency comparison
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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Ministral 8B Instruct
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Jamba 1.5 Mini
Avg Score:67.2%
Providers:2
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Ministral 8B Instruct
Avg Score:69.3%(+2.1%)
Providers:1