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Jamba 1.5 Large vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 23.0% higher average benchmark score. Jamba 1.5 Large offers 351.2K more tokens in context window than o1-preview. Jamba 1.5 Large is $65.00 cheaper per million tokens. Overall, o1-preview is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
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OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
21 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o1-preview
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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Jamba 1.5 Large
Input:$2.00
Output:$8.00($65.00 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Jamba 1.5 Large
Average Score:59.1%
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o1-preview
Average Score:82.0%(+23.0%)
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Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
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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Jamba 1.5 Large
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.3ms
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o1-preview
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2
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o1-preview
Avg Score:82.0%(+23.0%)
Providers:2