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DeepSeek-V2.5 vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 30.9% higher average benchmark score. Jamba 1.5 Mini offers 495.9K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
3 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.18 cheaper)
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek-V2.5
Average Score:53.3%(+30.9%)
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Jamba 1.5 Mini
Average Score:22.4%
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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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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:53.3%(+30.9%)
Providers:3
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Jamba 1.5 Mini
Avg Score:22.4%
Providers:2