Model Comparison

Gemini 1.5 Pro vs Qwen2.5 7B Instruct

Gemini 1.5 Pro has a slight edge in benchmark performance. Qwen2.5 7B Instruct is 14.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 1.5 Pro outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Qwen2.5 7B Instruct is better at 2 benchmarks (GSM8k, HumanEval).

Gemini 1.5 Pro has a slight edge in benchmark performance.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 8.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 33.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while Qwen2.5 7B Instruct uses Apache 2.0.

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

Gemini 1.5 Pro

Proprietary

Closed source

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 5 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.5 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen2.5 7B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen2.5 7B Instruct's cutoff date.

Gemini 1.5 Pro

Nov 2023

Qwen2.5 7B Instruct

—

Provider Availability

Gemini 1.5 Pro is available from Google. Qwen2.5 7B Instruct is available from Together.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher GPQA score (59.1% vs 36.4%)
Higher MATH score (86.5% vs 75.5%)
Higher MMLU-Pro score (75.8% vs 56.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GSM8k score (91.6% vs 90.8%)
Higher HumanEval score (84.8% vs 84.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Gemini 1.5 Pro vs Qwen2.5 7B Instruct

Gemini 1.5 Pro has a slight edge in benchmark performance. Gemini 1.5 Pro is made by Google and Qwen2.5 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.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Qwen2.5 7B Instruct is 8.3x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Gemini 1.5 Pro supports 2.1M tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (2.1M vs 131K), input pricing ($2.50 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.