Ember-1 vs Qwen2-VL-72B-Instruct
Ember-1 leads the LLM Stats Score 43.6 to 14.3.
Fireworks AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.6 to 14.3, ranking #46 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ember-1
- overall performance matters — it scores 43.6 and ranks #46 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Qwen2-VL-72B-Instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Ember-1 · 15 for Qwen2-VL-72B-Instruct
Ember-1 and Qwen2-VL-72B-Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Ember-1 has 2706.6B more parameters than Qwen2-VL-72B-Instruct, making it 3687.5% larger.
Context Window
Maximum input and output token capacity
Only Ember-1 specifies input context (1,040,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Ember-1 does not.
Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
Ember-1 is 25 months newer than Qwen2-VL-72B-Instruct.
Sep 23, 2026
2 weeks ago
2.1yr newerAug 29, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Ember-1's cutoff date is not specified.
We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Ember-1's cutoff date.
—
Jun 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Qwen2-VL-72B-Instruct.