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Jamba 1.5 Large vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 25.6% higher average benchmark score. Kimi K2 0905 offers 12.3K more tokens in context window than Jamba 1.5 Large. Kimi K2 0905 is $6.90 cheaper per million tokens. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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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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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 Large
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 Large
Input:$2.00
Output:$8.00
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Kimi K2 0905
Input:$0.60
Output:$2.50($6.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Large
Average Score:57.2%
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Kimi K2 0905
Average Score:82.8%(+25.6%)
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Knowledge Cutoff
Training data recency comparison
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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Kimi K2 0905
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Jamba 1.5 Large
Avg Score:57.2%
Providers:2
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Kimi K2 0905
Avg Score:82.8%(+25.6%)
Providers:2