Gemini 1.5 Flash vs Qwen2.5 72B Instruct Comparison

Comparing Gemini 1.5 Flash and Qwen2.5 72B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 1.5 Flash outperforms in 1 benchmarks (GPQA), while Qwen2.5 72B Instruct is better at 4 benchmarks (GSM8k, HumanEval, MATH, MMLU-Pro).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Thu Mar 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, Gemini 1.5 Flash ($0.15/1M tokens) is 2.3x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 1.5x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than Gemini 1.5 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Mar 19 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

Gemini 1.5 Flash accepts 1,048,576 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Thu Mar 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 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 1.5 Flash

Proprietary

Closed source

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 5 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

1.9 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.5 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while Qwen2.5 72B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen2.5 72B Instruct's cutoff date.

Gemini 1.5 Flash

Nov 2023

Qwen2.5 72B Instruct

Provider Availability

Gemini 1.5 Flash is available from Google. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. The availability of providers can affect quality of the model and reliability.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (51.0% vs 49.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens
Has open weights
Higher GSM8k score (95.8% vs 86.2%)
Higher HumanEval score (86.6% vs 74.3%)
Higher MATH score (83.1% vs 77.9%)
Higher MMLU-Pro score (71.1% vs 67.3%)
GoogleGemini 1.5 Flash
Alibaba Cloud / Qwen TeamQwen2.5 72B Instruct

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct