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Jamba 1.5 Large vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 22.1% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
10 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Jamba 1.5 Large
Average Score:30.8%
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Kimi K2 Base
Average Score:52.9%(+22.1%)
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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 Base
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Jamba 1.5 Large
Avg Score:30.8%
Providers:2
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Kimi K2 Base
Avg Score:52.9%(+22.1%)
Providers:0