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Gemma 2 9B vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 27.9% higher average benchmark score. Jamba 1.5 Mini is available on 2 providers. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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.
1 month newer
Gemma 2 9B
2024-06-27
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Gemma 2 9B
Average Score:49.2%(+27.9%)
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Jamba 1.5 Mini
Average Score:21.4%
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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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Gemma 2 9B
0 providers
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Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
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Gemma 2 9B
Avg Score:49.2%(+27.9%)
Providers:0
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Jamba 1.5 Mini
Avg Score:21.4%
Providers:2