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DeepSeek R1 Zero vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 13.0% higher average benchmark score. Jamba 1.5 Mini is available on 2 providers. Overall, Jamba 1.5 Mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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.
5 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
DeepSeek R1 Zero
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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DeepSeek R1 Zero
Average Score:27.8%
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Jamba 1.5 Mini
Average Score:40.8%(+13.0%)
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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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DeepSeek R1 Zero
0 providers
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Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
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DeepSeek R1 Zero
Avg Score:27.8%
Providers:0
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Jamba 1.5 Mini
Avg Score:40.8%(+13.0%)
Providers:2