Model Comparison
Jamba 1.5 Mini vs o1-pro
o1-pro significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Jamba 1.5 Mini outperforms in 0 benchmarks, while o1-pro is better at 1 benchmark (GPQA).
o1-pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).
Input Capabilities
Supported data types and modalities
o1-pro supports multimodal inputs, whereas Jamba 1.5 Mini does not.
o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Mini
o1-pro
License
Usage and distribution terms
Jamba 1.5 Mini is licensed under Jamba Open Model License, while o1-pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Jamba 1.5 Mini was released on 2024-08-22, while o1-pro was released on 2024-12-17.
o1-pro is 4 months newer than Jamba 1.5 Mini.
Aug 22, 2024
1.7 years ago
Dec 17, 2024
1.3 years ago
3mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while o1-pro has a cutoff of 2023-09-30.
Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to o1-pro (2023-09-30).
Mar 2024
6 mo newerSep 2023
Outputs Comparison
Key Takeaways
Jamba 1.5 Mini
View detailsAI21 Labs
o1-pro
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Jamba 1.5 Mini vs o1-pro