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Jamba 1.5 Large vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 21.1% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than Kimi K2 Instruct. Kimi K2 Instruct is $7.13 cheaper per million tokens. Overall, Kimi K2 Instruct 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 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Kimi K2 Instruct
Moonshot AI
2025-07-11
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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 Instruct
Input:$0.57
Output:$2.30($7.13 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Large
Average Score:64.7%
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Kimi K2 Instruct
Average Score:85.8%(+21.1%)
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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 Instruct
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Jamba 1.5 Large
Avg Score:64.7%
Providers:2
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Kimi K2 Instruct
Avg Score:85.8%(+21.1%)
Providers:1