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Jamba 1.5 Large vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 20.6% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o1. Jamba 1.5 Large is $65.00 cheaper per million tokens. Overall, o1 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 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 Large
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 Large
Input:$2.00
Output:$8.00($65.00 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 Large
Average Score:68.4%
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o1
Average Score:89.0%(+20.6%)
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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
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Jamba 1.5 Large
Avg Score:68.4%
Providers:2
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o1
Avg Score:89.0%(+20.6%)
Providers:2