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Jamba 1.5 Mini vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 29.7% higher average benchmark score. Jamba 1.5 Mini offers 212.3K more tokens in context window than o1. Jamba 1.5 Mini is $74.40 cheaper per million tokens. Overall, o1 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 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
3 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
o1
OpenAI
2024-12-17
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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
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Jamba 1.5 Mini
Average Score:59.3%
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o1
Average Score:89.0%(+29.7%)
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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
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Jamba 1.5 Mini
Avg Score:59.3%
Providers:2
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o1
Avg Score:89.0%(+29.7%)
Providers:2