Model Comparison

Gemini 2.5 Pro Preview 06-05 vs Qwen2-VL-72B-Instruct

Comparing Gemini 2.5 Pro Preview 06-05 and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Pro Preview 06-05 and Qwen2-VL-72B-Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro Preview 06-05 specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro Preview 06-05 specifies output context (65,535 tokens).

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro Preview 06-05 and Qwen2-VL-72B-Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 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.

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Gemini 2.5 Pro Preview 06-05 is 9 months newer than Qwen2-VL-72B-Instruct.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

10 months ago

9mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a knowledge cutoff of 2025-01-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Gemini 2.5 Pro Preview 06-05 has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Gemini 2.5 Pro Preview 06-05

Jan 2025

1.6 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Qwen2-VL-72B-Instruct

Gemini 2.5 Pro Preview 06-05 (Google) and Qwen2-VL-72B-Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
Gemini 2.5 Pro Preview 06-05 supports 1.0M tokens and Qwen2-VL-72B-Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro Preview 06-05 is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.