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Jamba 1.5 Large vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 13.5% higher average benchmark score. Jamba 1.5 Large offers 318.5K more tokens in context window than o1-mini. Jamba 1.5 Large is $5.00 cheaper per million tokens. Overall, o1-mini 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-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
21 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o1-mini
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($5.00 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
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-mini
Average Score:72.6%(+13.5%)
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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-mini
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2
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o1-mini
Avg Score:72.6%(+13.5%)
Providers:2