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Jamba 1.5 Mini vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 21.6% higher average benchmark score. Jamba 1.5 Mini offers 318.8K more tokens in context window than o1-mini. Jamba 1.5 Mini is $14.40 cheaper per million tokens. Overall, o1-mini 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-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 Mini
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 Mini
Input:$0.20
Output:$0.40($14.40 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 Mini
Average Score:51.0%
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o1-mini
Average Score:72.6%(+21.6%)
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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-mini
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Jamba 1.5 Mini
Avg Score:51.0%
Providers:2
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o1-mini
Avg Score:72.6%(+21.6%)
Providers:2