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Jamba 1.5 Mini vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 30.7% higher average benchmark score. Jamba 1.5 Mini offers 250.1K more tokens in context window than Kimi K2 Instruct. Jamba 1.5 Mini is $2.27 cheaper per million tokens. Overall, Kimi K2 Instruct 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 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 Mini
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 Mini
Input:$0.20
Output:$0.40($2.27 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Jamba 1.5 Mini
Average Score:55.1%
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Kimi K2 Instruct
Average Score:85.8%(+30.7%)
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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 Instruct
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Jamba 1.5 Mini
Avg Score:55.1%
Providers:2
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Kimi K2 Instruct
Avg Score:85.8%(+30.7%)
Providers:1