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Jamba 1.5 Mini vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 34.7% higher average benchmark score. Kimi K2 0905 offers 12.0K more tokens in context window than Jamba 1.5 Mini. Jamba 1.5 Mini is $2.50 cheaper per million tokens. Overall, Kimi K2 0905 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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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
1 year newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Kimi K2 0905
Moonshot AI
2025-09-05
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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($2.50 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Mini
Average Score:48.2%
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Kimi K2 0905
Average Score:82.8%(+34.7%)
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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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Kimi K2 0905
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Jamba 1.5 Mini
Avg Score:48.2%
Providers:2
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Kimi K2 0905
Avg Score:82.8%(+34.7%)
Providers:2