Jamba 1.5 Large vs Qwen3.5-9B Comparison
Comparing Jamba 1.5 Large and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen3.5-9B is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3.5-9B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Jamba 1.5 Large has 389.0B more parameters than Qwen3.5-9B, making it 4322.2% larger.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-9B supports multimodal inputs, whereas Jamba 1.5 Large does not.
Qwen3.5-9B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Qwen3.5-9B
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3.5-9B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 19 months newer than Jamba 1.5 Large.
Aug 22, 2024
1.6 years ago
Mar 2, 2026
1 weeks ago
1.5yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen3.5-9B's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Qwen3.5-9B's cutoff date.
Mar 2024
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Outputs Comparison
Key Takeaways
Jamba 1.5 Large
View detailsAI21 Labs
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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