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Jamba 1.5 Large vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 23.0% higher average benchmark score. Jamba 1.5 Large offers 212.0K more tokens in context window than o3-mini. o3-mini is $4.50 cheaper per million tokens. Overall, o3-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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
o3-mini
OpenAI
2025-01-30
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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
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o3-mini
Input:$1.10
Output:$4.40($4.50 cheaper)
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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o3-mini
Average Score:82.0%(+23.0%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
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Jamba 1.5 Large
Avg Score:59.1%
Providers:2
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o3-mini
Avg Score:82.0%(+23.0%)
Providers:2