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DeepSeek-V3 vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 35.8% higher average benchmark score. Jamba 1.5 Mini offers 250.1K more tokens in context window than DeepSeek-V3. Jamba 1.5 Mini is $0.77 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
4 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
DeepSeek-V3
DeepSeek
2024-12-25
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($0.77 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek-V3
Average Score:53.7%(+35.8%)
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Jamba 1.5 Mini
Average Score:17.9%
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Jamba 1.5 Mini
2 providers
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DeepSeek-V3
Avg Score:53.7%(+35.8%)
Providers:1
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Jamba 1.5 Mini
Avg Score:17.9%
Providers:2