Gemini 1.0 Pro vs QvQ-72B-Preview
QvQ-72B-Preview leads the LLM Stats Score 7.9 to -5.3.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
QvQ-72B-Preview leads the overall LLM Stats Score 7.9 to -5.3, ranking #280 overall.
In the 2 individual benchmarks reported for both models, QvQ-72B-Preview 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 Gemini 1.0 Pro
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose QvQ-72B-Preview
- overall performance matters — it scores 7.9 and ranks #280 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Gemini 1.0 Pro · 4 for QvQ-72B-Preview
Gemini 1.0 Pro outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).
QvQ-72B-Preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
QvQ-72B-Preview supports multimodal inputs, whereas Gemini 1.0 Pro does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
QvQ-72B-Preview
License
Usage and distribution terms
Gemini 1.0 Pro is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while QvQ-72B-Preview was released on 2024-12-25.
QvQ-72B-Preview is 10 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.6 years ago
Dec 25, 2024
1.7 years ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while QvQ-72B-Preview's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.
Feb 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs QvQ-72B-Preview.