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Jamba 1.5 Mini vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 31.0% higher average benchmark score. Jamba 1.5 Mini offers 351.5K more tokens in context window than o1-preview. Jamba 1.5 Mini is $74.40 cheaper per million tokens. Overall, o1-preview is the stronger choice for coding tasks.
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AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
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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 Mini
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 Mini
Input:$0.20
Output:$0.40($74.40 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 Mini
Average Score:51.0%
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o1-preview
Average Score:82.0%(+31.0%)
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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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Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
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o1-preview
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2
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o1-preview
Avg Score:82.0%(+31.0%)
Providers:2