Model Comparison

Gemini 2.5 Pro vs Qwen2 7B Instruct

Gemini 2.5 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while Qwen2 7B Instruct is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Gemini 2.5 Pro

Input1,048,576 tokens

Output65,536 tokens

Qwen2 7B Instruct

Input- tokens

Output- tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Qwen2 7B Instruct does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text

Images

Audio

Video

Qwen2 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 2.5 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.

Gemini 2.5 Pro

Proprietary

Closed source

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen2 7B Instruct was released on 2024-07-23.

Gemini 2.5 Pro is 10 months newer than Qwen2 7B Instruct.

Gemini 2.5 Pro

May 20, 2025

1.0 years ago

10mo newer

Qwen2 7B Instruct

Jul 23, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen2 7B Instruct's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen2 7B Instruct's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen2 7B Instruct

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Outputs Comparison

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Key Takeaways

Gemini 2.5 Pro

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Higher GPQA score (83.0% vs 25.3%)

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Gemini 2.5 Pro

Qwen2 7B Instruct

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 2.5 Pro	Qwen2 7B Instruct

FAQ

Common questions about Gemini 2.5 Pro vs Qwen2 7B Instruct.

Which is better, Gemini 2.5 Pro or Qwen2 7B Instruct?

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and Qwen2 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro compare to Qwen2 7B Instruct in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Qwen2 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.

What are the context window sizes for Gemini 2.5 Pro and Qwen2 7B Instruct?

Gemini 2.5 Pro supports 1.0M tokens and Qwen2 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Pro and Qwen2 7B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Qwen2 7B Instruct?

Gemini 2.5 Pro is developed by Google and Qwen2 7B Instruct is developed by Alibaba Cloud / Qwen Team.