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DeepSeek-V3.1 vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 22.1% higher average benchmark score. Jamba 1.5 Mini offers 184.6K more tokens in context window than DeepSeek-V3.1. Jamba 1.5 Mini is $0.67 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. 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.
4 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
DeepSeek-V3.1
DeepSeek
2025-01-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Jamba 1.5 Mini
Input:$0.20
Output:$0.40($0.67 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-V3.1
Average Score:42.5%(+22.1%)
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Jamba 1.5 Mini
Average Score:20.4%
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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-V3.1
2 providers
DeepInfra
Novita
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Jamba 1.5 Mini
2 providers
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DeepSeek-V3.1
Avg Score:42.5%(+22.1%)
Providers:2
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Jamba 1.5 Mini
Avg Score:20.4%
Providers:2