Jamba 1.5 Mini vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B leads the LLM Stats Score 4.9 to -6.0.
AI21 Labs · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5-Omni-7B leads the overall LLM Stats Score 4.9 to -6.0, ranking #322 overall.
In the 3 individual benchmarks reported for both models, Qwen2.5-Omni-7B 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 Mini
- you want predictable pricing at $0.20/M input and $0.40/M output
Choose Qwen2.5-Omni-7B
- overall performance matters — it scores 4.9 and ranks #322 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- 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 Mini · 45 for Qwen2.5-Omni-7B
Jamba 1.5 Mini outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 2 benchmarks (GSM8k, MMLU-Pro).
Qwen2.5-Omni-7B 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 Mini has 45.0B more parameters than Qwen2.5-Omni-7B, making it 642.9% larger.
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
Documented input modalities across available providers
Qwen2.5-Omni-7B supports multimodal inputs, whereas Jamba 1.5 Mini 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 Mini
Qwen2.5-Omni-7B
License
Usage and distribution terms
Jamba 1.5 Mini 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 Mini 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 Mini.
Aug 22, 2024
2.2 years ago
Mar 27, 2025
1.6 years ago
7mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Mini 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 Mini'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 Mini and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Mini vs Qwen2.5-Omni-7B.