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Gemini 2.0 Flash Thinking vs Qwen2.5 72B Instruct

Gemini 2.0 Flash Thinking leads the LLM Stats Score 17.0 to 12.9.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 17.0 to 12.9, ranking #198 overall.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 1; 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 2.0 Flash Thinking

  • overall performance matters — it scores 17.0 and ranks #198 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2.5 72B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
17.0
#198
12.9
#228
17.3
#192
13.0
#224
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
131,072

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 14 for Qwen2.5 72B Instruct

1 shared

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 Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.6 years ago

4mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.9 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

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

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 leads the LLM Stats Score 17.0 to 12.9. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (17.0 vs 12.9), 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.