Jamba 1.5 Large vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Jamba 1.5 Large outperforms in 1 benchmarks (MMLU), while Qwen2.5 VL 32B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you want predictable pricing at $2.00/M input and $8.00/M output
Choose Qwen2.5 VL 32B Instruct
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Jamba 1.5 Large outperforms in 1 benchmarks (MMLU), while Qwen2.5 VL 32B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen2.5 VL 32B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Jamba 1.5 Large has 364.5B more parameters than Qwen2.5 VL 32B Instruct, making it 1088.1% 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
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Jamba 1.5 Large does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen2.5 VL 32B Instruct 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 Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 6 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.0 years ago
Feb 28, 2025
1.5 years ago
6mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen2.5 VL 32B Instruct'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 Qwen2.5 VL 32B Instruct's cutoff date.
Mar 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Qwen2.5 VL 32B Instruct.