Gemini 1.5 Pro vs Qwen2 7B Instruct
Gemini 1.5 Pro leads the LLM Stats Score 12.2 to -4.2.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 1.5 Pro leads the overall LLM Stats Score 12.2 to -4.2, ranking #240 overall.
In the 6 individual benchmarks reported for both models, Gemini 1.5 Pro wins 6; 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 1.5 Pro
- overall performance matters — it scores 12.2 and ranks #240 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
Choose Qwen2 7B Instruct
- you want the most recent training data — it shipped Jul 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
23 reported for Gemini 1.5 Pro · 14 for Qwen2 7B Instruct
Gemini 1.5 Pro outperforms in 6 benchmarks (GPQA, GSM8k, HumanEval, MATH, MMLU, MMLU-Pro), while Qwen2 7B Instruct is better at 0 benchmarks.
Gemini 1.5 Pro 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 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Pro supports multimodal inputs, whereas Qwen2 7B Instruct does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
Qwen2 7B Instruct
License
Usage and distribution terms
Gemini 1.5 Pro is licensed under a proprietary license, while Qwen2 7B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 1.5 Pro was released on 2024-05-01, while Qwen2 7B Instruct was released on 2024-07-23.
Qwen2 7B Instruct is 3 months newer than Gemini 1.5 Pro.
May 1, 2024
2.3 years ago
Jul 23, 2024
2.1 years ago
2mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen2 7B Instruct's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen2 7B Instruct's cutoff date.
Nov 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and Qwen2 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs Qwen2 7B Instruct.