Model Comparison

Gemini 2.0 Flash Thinking vs Qwen2.5 72B InstructWhich is better in 2026?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash Thinking vs Qwen2.5 72B Instruct — which is better?

Gemini 2.0 Flash Thinking (by Google) and Qwen2.5 72B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Qwen2.5 72B Instruct is better at 0 benchmarks. Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash Thinking if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2.5 72B Instruct if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Qwen2.5 72B Instruct is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Qwen2.5 72B Instruct uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Qwen2.5 72B Instruct was released on 2024-09-19.

Gemini 2.0 Flash Thinking is 4 months newer than Qwen2.5 72B Instruct.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.4 years ago

4mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Qwen2.5 72B Instruct's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen2.5 72B Instruct's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Qwen2.5 72B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Higher GPQA score (74.2% vs 49.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Qwen2.5 72B Instruct.

Which is better, Gemini 2.0 Flash Thinking or Qwen2.5 72B Instruct?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking is made by Google and Qwen2.5 72B 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 2.0 Flash Thinking compare to Qwen2.5 72B Instruct in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Qwen2.5 72B Instruct?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and Qwen2.5 72B Instruct?

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

Who makes Gemini 2.0 Flash Thinking and Qwen2.5 72B Instruct?

Gemini 2.0 Flash Thinking is developed by Google and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.