Jamba 1.5 Large vs Qwen2.5-Omni-7B
Jamba 1.5 Large and Qwen2.5-Omni-7B are closely matched at 0.9 and 5.2 on the LLM Stats Score.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Jamba 1.5 Large and Qwen2.5-Omni-7B are closely matched on the overall LLM Stats Score at 0.9 and 5.2.
In the 3 individual benchmarks reported for both models, Jamba 1.5 Large wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Qwen2.5-Omni-7B
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Jamba 1.5 Large · 45 for Qwen2.5-Omni-7B
Jamba 1.5 Large outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5-Omni-7B is better at 1 benchmark (GSM8k).
Jamba 1.5 Large shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Jamba 1.5 Large has 391.0B more parameters than Qwen2.5-Omni-7B, making it 5585.7% 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
Documented input modalities across available providers
Qwen2.5-Omni-7B supports multimodal inputs, whereas Jamba 1.5 Large does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Qwen2.5-Omni-7B
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen2.5-Omni-7B 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-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 7 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.1 years ago
Mar 27, 2025
1.5 years ago
7mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen2.5-Omni-7B'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-Omni-7B'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-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Qwen2.5-Omni-7B.